SlideShare ist ein Scribd-Unternehmen logo
1 von 78
Downloaden Sie, um offline zu lesen
DIMENSIONAL ANALYSIS,
SIMILITUDE AND MODEL
ANALYSIS
DR. MOHSIN SIDDIQUE
ASSISTANT PROFESSOR
BACKGROUND
Although many practical engineering problems involving fluid
mechanics can be solved by
• Equations and Analytical procedures
yet a large number of problems rely on experimental data for their
solution
In fact, very few problems involving real fluids can be solved by
analytical analysis alone
In general, solution is obtained through the use of a combination
of analysis and experimental data
An obvious goal of any experiment is to make the results as
widely applicable as possible
To achieve this goal, the concept of similitude is often used so
that measurements made on one system (Laboratory) can be used
to describe the behavior of other systems (Outside of laboratory)
2
BACKGROUND
The laboratory systems are usually thought of as models
and are used to study the phenomenon of interest under
carefully controlled conditions
From these model studies, empirical formulations can be
developed, or specific predictions of one or more
characteristics of some other similar system can be made
However, to do this, it is necessary to establish the
relationship between the laboratory model and the “other”
system
In present topic, we will learn how to achieve this in a
systematic manner
3
BACKGROUND
Dimensional Analysis to predict the physical parameters that
will significantly influence phenomenon under study
Similitude and Model analysis to investigate the complexity
of phenomenon in details
Application of knowledge on actual/prototype model
Wind turbine Dam/spillway
Sudden contraction
in pipes
4
DIMENSIONAL ANALYSIS
Introduction:
Dimensional Analysis is a mathematical technique making
use of study of dimensions
It deals with the dimensions of physical quantities involved
in the phenomenon
In dimensional analysis, one first predicts the physical
parameters that will influence the flow, and then by,
grouping these parameters in dimensionless combinations
a better understanding of the flow phenomenon is made
possible
It is particularly helpful in experimental work because it
provides a guide to those things that significantly influence
the phenomena; thus it indicates the direction in which the
experimental work should go
This mathematical technique is used in research work for
design and for conducting model tests
5
TYPES OF DIMENSIONS
There are two types of dimensions
• Fundamental Dimensions or Fundamental Quantities
• Secondary Dimensions or Derived Quantities
Fundamental Dimensions or Fundamental Quantities:
These are basic quantities. For Example;
• Time, T
• Distance, L
• Mass, M
Time, T
Distance, L,
Force, F
Force=Mass x Acceleration = MLT-2
6
TYPES OF DIMENSIONS
Secondary Dimensions or Derived Quantities
The are those quantities which posses more than one
fundamental dimensions.
For example;
• Velocity is denoted by distance per unit time L/T
• Acceleration is denoted by distance per unit time square L/T2
• Density is denoted by mass per unit volume M/L3
Since velocity, density and acceleration involve more
than one fundamental quantities so these are called
derived quantities.
7
Characteristics Unit (SI) Dimension
(MLT)
Dimension
(FLT)
Geometry Length m L
Area m2 L2
Volume m3 L3
Kinematic Time S T
Velocity m/S L/T
Acceleration m/S2 L/T2
Discharge m3/S L3/T
Dynamic Mass Kg M FL-1T2
Force N (Kg-m/S2) MLT-2 F
Pressure Pa (N/m2) ML-1T-2 FL-2
Energy J (N-m) ML2T-2 FL
Power Watt (N-m/S) ML2T-3 FLT-1
Table: Flow Characteristics, units and Dimensions
8
METHODOLOGY OF DIMENSIONAL ANALYSIS
The basic principle is Dimensional Homogeneity, which
means the dimensions of each terms in an equation on both
sides are equal.
So such an equation, in which dimensions of each term on
both sides of equation are same, is known as
Dimensionally Homogeneous Equation. Such equations are
independent of system of units. For example;
Lets consider the equation V=(2gH)1/2
• Dimensions of LHS=V=L/T=LT-1
• Dimensions of RHS=(2gH)1/2=(L/T2xL)1/2=LT-1
• Dimensions of LHS = Dimensions of RHS
So the equation V=(2gH)1/2 is dimensionally homogeneous
equation.
9
METHODS OF DIMENSIONAL ANALYSIS
If the number of variables involved in a physical phenomenon are
known, then the relation among the variables can be determined by the
following two methods;
• Rayleigh’s Method
• Buckingham’s π-Theorem
Rayleigh’s Method:
It is used for determining expression for a variable (dependent) which
depends upon maximum three to four variables (Independent) only.
If the number of independent variables are more than 4 then it is very
difficult to obtain expression for dependent variable.
Let X is a dependent variable which depends upon X1, X2, and X3 as
independent variables. Then according to Rayleigh’s Method
X=f(X1, X2, X3) which can be written as
X=K X1
a, X2
b, X3
c
Where K is a non-dimensional constant and a, b, c are arbitrary
powers which are obtained by comparing the powers of
fundamental dimensions (Dimensional Homogeneity).
10
RAYLEIGH’S METHOD
Q. The resisting force R of a supersonic plane during flight can be
considered as dependent upon the length of the aircraft l, velocity
V, air viscosity µ, air density ρ, and bulk modulus of air k. Express
the functional relationship between the variables and the resisting
force.
-2 1 1 1 3 1 2
( , , , , ) , , , , (1)
Where: A = Non dimensional constant
Substituting the powers on both sides of the equation
( ) ( ) ( ) ( )
Equating the powers of MLT on both
a b c d e
a b c d e
R f l V K R Al V K
MLT AL LT ML T ML ML T
µ ρ µ ρ
− − − − − −
= ⇒ =
=
sides
Power of M 1
Power of L 1 - -3 -
Power of T 2 - - -2
c d e
a b c d e
b c e
⇒ = + +
⇒ = +
⇒ − =
Solution:
11
RAYLEIGH’S METHOD
Since the unkown(5) are more than number of equations(3). So expressing
a, b & c in terms of d & e
1- -
2- - 2
1- 3 1-(2- - 2 ) 3(1- - )
1-2 2 3-3 -3 2-
Substituting the values
d c e
b c e
a b c d e c e c c e e
c e c c e e c
=
=
= + + + = + + +
= + + + + + =
2 2 2 1 2 2 2
2 2
2
2 2
2
in (1), we get
( )( )c c e c c e e c c c c e e e
c e
R Al V K Al V l V V K
K
R A l V
Vl V
K
R A l V
Vl V
µ ρ ρ µ ρ ρ
µ
ρ
ρ ρ
µ
ρ φ
ρ ρ
− − − − − − − − − −
= =
    
=     
     
   
=    
   
OR
12
RAYLEIGH’S METHOD
( )ρ,Kfu = ( )ba
KCu ρ,=
13
RAYLEIGH’S METHOD
14
RAYLEIGH’S METHOD
15
BUCKINGHAM’S Π-THEOREM:
Buckingham’s π-Theorem: Since Rayleigh’s Method becomes
laborious if variables are more than fundamental dimensions (MLT), so
the difficulty is overcome by Buckingham’s π-Theorem which states
that
“If there are n variables (Independent and Dependent) in a physical
phenomenon and if these variables contain m fundamental dimensions
then the variables are arranged into (n-m) dimensionless terms which
are called π-terms.”
Let X1, X2, X3,…,X4, Xn are the variables involved in a physical
problem. Let X1 be the dependent variable and X2, X3, X4,…,Xn are
the independent variables on which X1 depends. Mathematically it can
be written as
X1=f(X2 ,X3 ,X4 ,Xn) which can be rewritten as
f(X1X2 ,X3 ,X4 ,Xn)=0
Above equation is dimensionally homogenous.
It contain n variables and if there are m fundamental dimensions then it
can be written in terms of dimensions groups called π-terms which are
equal to (n-m)
Hence; f(π1, π2 π3,… πn-m)=0
16
BUCKINGHAM’S Π-THEOREM:
Properties of π-terms:
• Each π-term is dimensionless and is independent of system of
units.
• Division or multiplication by a constant does not change the
character of the π-terms.
• Each π-term contains m+1 variables, where m is the number of
fundamental dimensions and also called repeating variable.
Let in the above case X2, X3, X4 are repeating variables and if
fundamental dimensions m = 3 then each π-term is written as
Π1=X2
a1. X3
b1. X4
c1 .X1
Π2=X2
a2. X3
b2. X4
c2 .X5
.
.
Πn-m=X2
a(n-m). X3
b(n-m). X4
a(n-m) .Xn
Each equation is solved by principle of dimensionless
homogeneity and values of a1, b1 & c1 etc are obtained. Final result
is in the form of
Π1=ϕ’(Π2, Π3, Π4 ,…, Π(n-m))
Π2=ϕ”(Π1, Π3, Π4 ,…, Π(n-m))
17
METHODS OF SELECTING REPEATING VARIABLES
The number of repeating variables are equal to number of
fundamental dimensions of the problem. The choice of repeating
variables is governed by following considerations;
• As far as possible, dependent variable should not be selected as
repeating variable
• The repeating variables should be chosen in such a way that one
variable contains geometric property, other contains flow property
and third contains fluid property
• The repeating variables selected should form a dimensionless
group
• The repeating variables together must contain all three
fundamental dimension i.e., MLT
• No two repeating variables should have the same dimensions.
Note: In most of fluid mechanics problems, the choice of
repeating variables may be (i) d, v, ρ, (ii) l, v, ρ or (iii) d, v, µ.
18
BUCKINGHAM’S Π-THEOREM:
Q 1. The resisting force R of a supersonic plane during flight can
be considered as dependent upon the length of the aircraft l,
velocity V, air viscosity µ, air density ρ, and bulk modulus of air k.
Express the functional relationship between the variables and the
resisting force.
1 2 3
( , , , , ) ( , , , , , ) 0
Total number of variables, n= 6
No. of fundamental dimension, m=3
No. of dimensionless -terms, n-m=3
Thus: ( , , ) 0
No. Repeating variables =m=3
Repeating variables = ,
R f l V K f R l V K
f
l
µ ρ µ ρ
π
π π π
= ⇒ =
=
1 1 1
1
2 2 2
2
3 3 3
3
,
π-terms are written as
a b c
a b c
a b c
V
Thus
l V R
l V
l V K
ρ
π ρ
π ρ µ
π ρ
=
=
=
19
BUCKINGHAM’S Π-THEOREM:
Now each Pi-term is solved by the principle of dimensional
homogeneity
1 1 1 3 1 2
1
1 1
1 1 1 1
1 1
( ) ( )
Equating the powers of MLT on both sides, we get
Power of M: 0=c +1 c =-1
Power of L: 0=a +b -3c +1 2
Power of T: 0=-b -2 b =-2
o o o a b c
term M L T L LT ML MLT
a
π − − −
− ⇒ =
⇒
⇒ = −
⇒
∴ -2 -2 -2
1 1 2 2
2 1 2 3 2 1 1
2
2 2
2 2 2 2
( ) ( )
Equating the powers of MLT on both sides, we get
Power of M: 0 1 -1
Power of L: 0 -3 -1 1
Pow
o o o a b c
R
l V R
L V
term M L T L LT ML ML T
c c
a b c a
π ρ π
ρ
π − − − −
= ⇒ =
− ⇒ =
= + ⇒ =
= + ⇒ = −
2 2
-1 -1 -1
2 2
er of T: 0 - -1 -1b b
l V
lV
µ
π ρ µ π
ρ
= ⇒ =
∴ = ⇒ =
20
BUCKINGHAM’S Π-THEOREM:
3 1 3 3 3 1 2
3
3 3
3 3 3 3
3 3
( ) ( )
Equating the powers of MLT on both sides, we get
Power of M: 0 1 -1
Power of L: 0 -3 -1 0
Power of T: 0 - - 2 -2
o o o a b c
term M L T L LT ML ML T
c c
a b c a
b b
π − − − −
− ⇒ =
= + ⇒ =
= + ⇒ = −
= ⇒ =
∴ 0 -2 -1
3 2 2
1 2 3 2 2 2
2 2
2 2 2 2
( ) , , 0
, ,
K
l V K
V
Hence
R K
f f or
l V lV V
R K K
R l V
l V lV V lV V
π ρ π
ρ
µ
π π π
ρ ρ ρ
µ µ
φ ρ φ
ρ ρ ρ ρ ρ
= ⇒ =
 
= = 
 
   
= ⇒ =   
   
21
BUCKINGHAM’S Π-THEOREM:
Q 2. A thin rectangular plate having a width, w, and height, h, is located
so that it is normal to a moving stream of fluid. Assume the drag D, that
the fluid exerts on the plate is a function of w and h, the fluid viscosity
and density µ, and ρ, respectively, and velocity V of the fluid
approaching the plate. Determine a suitable set of pi terms to study this
problem experimentally
( )Vhwf ,,,,D
:can writeweproblem,ofstatementtheFrom
ρµ=
33-6m-nterms,piofNo.
3mdimension,lfundamentaofNo.
6n,variablesofnumberTotal
==
=
=
V,w,
variablesRepeating
ρ
1
11
2
,,D
aresystemMLTusingvariablesofdimensionThe
−
−−
=
=
===
LTV
TML
LhLwMLT -
µ
22
BUCKINGHAM’S Π-THEOREM:
333
3
222
2
111
1 ,,
aswrittenbecantermspitheNow
cbacbacba
VwVhwVDw ρµπρπρπ ===
( )( ) ( ) ( )
ρ
π
ρπ
ρπ
π
221
122
1
111
1
111
1
131112000
111
1
1
D
D
-1cand-2b-2,aTherefore,
b--20:TFor
3c-ba10:LFor
10:MFor
D
:For
Vw
Vw
c
MLLTLMLTTLM
Vw
cba
cba
=
=
===
=
++=
+=
=
=
−−−
−−−
23
BUCKINGHAM’S Π-THEOREM:
333
3
222
2
111
1 ,,
aswrittenbecantermspitheNow
cbacbacba
VwVhwVDw ρµπρπρπ ===
( )( ) ( ) ( )
w
h
Vhw
c
MLLTLLTLM
Vhw
cba
cba
=
=
===
=
++=
=
=
=
−
−−
2
001
2
222
2
222
2
23212000
222
2
2
0cand0b-1,aTherefore,
-b0:TFor
3c-ba10:LFor
0:MFor
:For
π
ρπ
ρπ
π
24
BUCKINGHAM’S Π-THEOREM:
333
3
222
2
111
1 ,,
aswrittenbecantermspitheNow
cbacbacba
VwVhwVDw ρµπρπρπ ===
( )( ) ( ) ( )
ρ
µ
π
ρµπ
ρµπ
π
Vw
Vw
c
MLLTLTMLTLM
Vw
cba
cba
=
=
=−=−=
=
++−=
+=
=
=
−−−
−−−−
3
111
3
333
3
333
3
3331311000
333
3
3
-1cand1b1,aTherefore,
b--10:TFor
3c-ba10:LFor
10:MFor
:For
25
BUCKINGHAM’S Π-THEOREM:
( )
( )






=
=
=
−
−
ρ
µ
φ
ρ
ππππφπ
πππππφ
wVh
w
Vw
mn
mn
,
D
,...,,,
0,...,,,,
formin thedrepresente
becananalysisldimensionaofresultseFinally th
22
4321
4321
26
BUCKINGHAM’S Π-THEOREM:
27
Let’s solve it now
BUCKINGHAM’S Π-THEOREM:
28Let’s solve it now
BUCKINGHAM’S Π-THEOREM:
31
For more worked problems refer to
Civil Engineering Hydraulics by Nalluri and Featherstone
(Worked problems 9.1 to 9.11)
SIMILITUDE AND MODEL ANALYSIS
Similitude is a concept used in testing of Engineering
Models.
Usually, it is impossible to obtain a pure theoretical solution
of hydraulic phenomenon.
Therefore, experimental investigations are often performed
on small scale models, called model analysis.
A few examples, where models may be used are ships in
towing basins, air planes in wind tunnel, hydraulic turbines,
centrifugal pumps, spillways of dams, river channels etc
and to study such phenomenon as the action of waves and
tides on beaches, soil erosion, and transportation of
sediment etc.
33
MODEL ANALYSIS
Model: is a small scale replica of the actual structure
Prototype: the actual structure or machine
Prototype Model
Lp3
Lp1
Lp2
Fp1
Fp3
Fp2
Lm3
Lm1
Lm2
Fm1
Fm3
Fm2
34
Note: It is not necessary that the models should be smaller that the
prototype, they may be larger than prototype
MODEL ANALYSIS
Model Analysis is actually an experimental method of
finding solutions of complex flow problems
The followings are the advantages of the model analysis
• Using dimensional analysis, a relationship between the
variables influencing a flow problem is obtained which help in
conducting tests
• The performance of the hydraulic structure can be predicted
in advance from its model
• The merits of alternative design can be predicted with the
help of model analysis to adopt most economical, and safe
design
Note: Test performed on models can be utilized for
obtaining, in advance, useful information about the
performance of the prototype only if a complete similarity
exits between the model and the prototype
35
SIMILITUDE-TYPE OF SIMILARITIES
Similitude: is defined as similarity between the model
and prototype in every respect, which mean model and
prototype have similar properties or model and
prototype are completely similar.
Three types of similarities must exist between model
and prototype.
• Geometric Similarity
• Kinematic Similarity
• Dynamic Similarity
36
SIMILITUDE-TYPE OF SIMILARITIES
Geometric Similarity: is the similarity of shape. It is said to exist
between model and prototype if ratio of all the corresponding
linear dimensions in the model and prototype are equal. e.g.
p p p
r
m m m
L B D
L
L B D
= = =
Where: Lp, Bp and Dp are Length, Breadth, and diameter of prototype
and Lm, Bm, Dm are Length, Breadth, and diameter of model.
Lr= Scale ratio
Note: Models are generally prepared with same scale ratios in every
direction. Such models are called true models. However, sometimes
it is not possible to do so and different convenient scales are used in
different directions. Thus, such models are called distorted model
37
SIMILITUDE-TYPE OF SIMILARITIES
Kinematic Similarity: is the similarity of motion. It is said to exist
between model and prototype if ratio of velocities and acceleration
at the corresponding points in the model and prototype are equal.
e.g.
1 2 1 2
1 2 1 2
;
p p p p
r r
m m m m
V V a a
V a
V V a a
= = = =
Where: Vp1& Vp2 and ap1 & ap2 are velocity and accelerations at point
1 & 2 in prototype and Vm1& Vm2 and am1 & am2 are velocity and
accelerations at point 1 & 2 in model.
Vr and ar are the velocity ratio and acceleration ratio
Note: Since velocity and acceleration are vector quantities, hence
not only the ratio of magnitude of velocity and acceleration at the
corresponding points in model and prototype should be same; but
the direction of velocity and acceleration at the corresponding points
in model and prototype should also be parallel.
38
SIMILITUDE-TYPE OF SIMILARITIES
Dynamic Similarity: is the similarity of forces. It is said to exist
between model and prototype if ratio of forces at the
corresponding points in the model and prototype are equal. e.g.
( )
( )
( )
( )
( )
( )
gi vp p p
r
i v gm m m
FF F
F
F F F
= = =
Where: (Fi)p, (Fv)p and (Fg)p are inertia, viscous and gravitational
forces in prototype and (Fi)m, (Fv)m and (Fg)m are inertia, viscous and
gravitational forces in model.
Fr is the Force ratio
Note: The direction of forces at the corresponding points in model
and prototype should also be parallel.
39
TYPES OF FORCES ENCOUNTERED IN FLUID
PHENOMENON
Inertia Force, Fi: It is equal to product of mass and acceleration in the
flowing fluid.
Viscous Force, Fv: It is equal to the product of shear stress due to
viscosity and surface area of flow.
Gravity Force, Fg: It is equal to product of mass and acceleration due
to gravity.
Pressure Force, Fp: it is equal to product of pressure intensity and
cross-sectional area of flowing fluid.
Surface Tension Force, Fs: It is equal to product of surface tension
and length of surface of flowing fluid.
Elastic Force, Fe: It is equal to product of elastic stress and area of
flowing fluid.
40
DIMENSIONLESS NUMBERS
Dimensionless numbers are the numbers which are
obtained by dividing the inertia force by viscous force or
gravity force or pressure force or surface tension force or
elastic force.
As this is ratio of once force to other, it will be a
dimensionless number. These are also called non-
dimensional parameters.
The following are most important dimensionless numbers.
• Reynold’s Number
• Froude’s Number
• Euler’s Number
• Weber’s Number
• Mach’s Number
41
DIMENSIONLESS NUMBERS
Reynold’s Number, Re: It is the ratio of inertia force to the viscous force
of flowing fluid.
. .
Re
. .
. . .
. . .
Velocity Volume
Mass Velocity
Fi Time Time
Fv Shear Stress Area Shear Stress Area
QV AV V AV V VL VL
du VA A A
dy L
ρ
ρ ρ ρ ρ
τ µ υµ µ
= = =
= = = = =
2
. .
. .
. .
. .
Velocity Volume
Mass Velocity
Fi Time TimeFe
Fg Mass Gavitational Acceleraion Mass Gavitational Acceleraion
QV AV V V V
Volume g AL g gL gL
ρ
ρ ρ
ρ ρ
= = =
= = = =
Froude’s Number, Fe: It is the ratio of inertia force to the gravity force
of flowing fluid.
42
DIMENSIONLESS NUMBERS
Eulers’s Number, Eu: It is the ratio of inertia force to the pressure force of
flowing fluid.
2
. .
Pr . Pr .
. .
. . / /
u
Velocity Volume
Mass Velocity
Fi Time TimeE
Fp essure Area essure Area
QV AV V V V
P A P A P P
ρ
ρ ρ
ρ ρ
= = =
= = = =
2 2
. .
. .
. .
. . .
Velocity Volume
Mass Velocity
Fi Time TimeWe
Fg Surface Tensionper Length Surface Tensionper Length
QV AV V L V V
L L L
L
ρ
ρ ρ ρ
σ σ σ σ
ρ
= = =
= = = =
Weber’s Number, We: It is the ratio of inertia force to the
surface tension force of flowing fluid.
43
DIMENSIONLESS NUMBERS
Mach’s Number, M: It is the ratio of inertia force to the elastic force of
flowing fluid.
2 2
2
. .
. .
. .
. . /
: /
Velocity Volume
Mass Velocity
Fi Time TimeM
Fe Elastic Stress Area Elastic Stress Area
QV AV V L V V V
K A K A KL CK
Where C K
ρ
ρ ρ ρ
ρ
ρ
= = =
= = = = =
=
44
MODEL LAWS OR SIMILARITY LAWS
We have already learned that for dynamic similarity, ratio of
corresponding forces acting on prototype and model should be
equal i.e.
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
g pv s e Ip p p p p p
v s e Ig pm m m mm m
F FF F F F
F F F FF F
= = = = =
( ) ( )
( )
( )
( )
( )
Thus dynamic similarity require that
v g p s e I
v g p s e Ip p
Iv g p s e mm
F F F F F F
F F F F F F
FF F F F F
+ + + + =
+ + + +
=
+ + + +
Force of inertial comes in play when sum of all other forces is not
equal to zero which mean:
In case all the forces are equally important, the above two equations
cannot be satisfied for model analysis
45
MODEL LAWS OR SIMILARITY LAWS
However, for practical problems it is seen that one force is most
significant compared to others and is called predominant force or
most significant force.
Thus, for practical problem only the most significant force is
considered for dynamic similarity. Hence, models are designed on
the basis of ratio of force, which is dominating in the
phenomenon.
Finally, the laws on which models are designed for dynamic
similarity are called models laws or laws of similarity. The
followings are these laws
• Reynold’s Model Law
• Froude’s Model Law
• Euler’s Model Law
• Weber’s Model Law
• Mach’s Model Law
46
REYNOLD’S MODEL LAW
It is based on Reynold’s number and states that Reynold’s number
for model must be equal to the Reynolds number for prototype.
Reynolds Model Law is used in problems where viscous forces are
dominant. These problems include:
• Pipe Flow
• Resistance experienced by submarines, airplanes, fully immersed
bodies etc
( ) ( )Re Re
1
: , ,
m mP P
P m
P m
P P r r
rP
m m
m
P P P
r r r
m m m
V LV L
or
V L V L
V L
V L
where V L
V L
υ υ
υυ
υ
υ
υ
υ
= =
= =
 
 
 
= = =
47
REYNOLD’S MODEL LAW
The Various Ratios for Reynolds’s Law are obtained as
r
r
r
P P P r
m m m r
P P
r
m m
2
r
r
sin /
Velocity Ratio: V =
L
T L /V L
Time Ratio: Tr=
T L /V V
V / Vr
Acceleration Ratio: a =
V / Tr
Discharge Ratio: Q
Force Ratio: F =
P m
mP P
m P m
P
m
P P
r r
m m
VL VL
ce and
LV
V L
a T
a T
A V
L V
A V
m
υ µ ρ
υ υ
υ υ
υ
   
= =   
   
= =
= =
= =
= =
2 2 2
2 2 2 3
r r rPower Ratio: P =F .V =
r r r r r r r r r r r r
r r r r r r r
a Q V L V V L V
L V V L V
ρ ρ ρ
ρ ρ
= = =
=
48
REYNOLD’S MODEL LAW
Q. A pipe of diameter 1.5 m is required to transport an oil of specific
gravity 0.90 and viscosity 3x10-2 poise at the rate of 3000litre/s.
Tests were conducted on a 15 cm diameter pipe using water at
20oC. Find the velocity and rate of flow in the model.
p p p p pm m m
m m
2
2
p 2
For pipe flow,
According to Reynolds' Model Law
V D DV D
D
900 1.5 1 10
3.0
1000 0.15 3 10
3.0
Since V
/ 4(1.5)
1.697 /
3.0 5.091 /
5.
m m
m p p p
m
p
p
p
m p
m m m
V
V
V
V
Q
A
m s
V V m s
and Q V A
ρ ρ µρ
µ µ ρ µ
π
−
−
= ⇒ =
× ×
= =
× ×
= =
=
∴ = =
= = 2
3
091 / 4(0.15)
0.0899 /m s
π×
=
Solution:
Prototype Data:
Diameter, Dp= 1.5m
Viscosity of fluid, µp= 3x10-2 poise
Discharge, Qp =3000litre/sec
Sp. Gr., Sp=0.9
Density of oil=ρp=0.9x1000
=900kg/m3
Model Data:
Diameter, Dm=15cm =0.15 m
Viscosity of water, µm =1x10-2 poise
Density of water, ρm=1000kg/m3
Velocity of flow Vm=?
Discharge Qm=?
49
REYNOLD’S MODEL LAW
Q. A ship 300m long moves in sea water, whose density is 1030
kg/m3. A 1:100 model of this ship is to be tested in a wind tunnel.
The velocity of air in the wind tunnel around the model is 30m/s and
the resistance of the model is 60N.
Determine the velocity of ship in sea water and also the resistance
of ship in sea water. The density of air is given as 1.24kg/m3. Take
the kinematic viscosity of air and sea water as 0.012 stokes and
0.018 stokes respectively.
Solution:
For Prototype
Length, Lp= 300m
Fluid = sea water
Density of sea water, ρp= 1030 kg/m3
Kinematic Viscosity, νp=0.018 stokes
=0.018x10-4 m2/s
Let Velocity of ship, Vp
Resistance, Fp
For Model
Scale ratio = Lp/Lm=100
Length, Lm= Lp/100 = 3m
Fluid = air
Density of air, ρm= 1.24 kg/m3
Kinematic Viscosity, νm=0.012 stokes
=0.012x10-4 m2/s
Velocity of ship, Vm=30 m/s
Resistance, Fm = 60 N
50
( )
( )
4
4
2 2
2 2 2 2
2 2
0.012 10 3
30 0.2 /
0.018 10 300
Resistance= Mass Acceleration= L V
L V 1030 300 0.2
369.17
1.24 3 30L V
369.17 60 22150.2
p m
p m
p m m p
p p
m
m
p
LVL VL
V V
L
Vp m s
Since
F
Thus
F
F N
υ
υ υ υ
ρ
ρ
ρ
−
−
   
= ⇒ =   
   
×
= =
×
×
   
= = =   
   
= × =
REYNOLD’S MODEL LAW
For dynamic similarity between model and prototype, the Reynolds
number for both of them should be equal.
51
0.018
0.012
FROUDE’S MODEL LAW
It is based on Froude’s number and states that Froude’s number for
model must be equal to the Froude’s number for prototype.
Froude’s Model Law is used in problems where gravity forces is
only dominant to control flow in addition to inertia force. These
problems include:
• Free surface flows such as flow over spillways, weirs, sluices,
channels etc.
• Flow of jet from orifice or nozzle
• Waves on surface of fluid
• Motion of fluids with different viscosities over one another
( ) ( )e e
/ 1; : ,
m mP P
P m
P P m m P m
P P P
r r r r
m mP
m
m
V VV V
F F or or
g L g L L L
V V L
V L where V L
V LL
V
L
= = =
= = = =
 
 
 
52
FROUDE’S MODEL LAW
The Various Ratios for Reynolds’s Law are obtained as;
r
P P P r
m m m
P P
r
m m
2 2 5/ 2
r
sin
Velocity Ratio: V
T L /V L
Time Ratio: Tr=
T L /V
V / Vr
Acceleration Ratio: a = 1
V / Tr
Discharge Ratio: Q
Force Ratio: Fr=
mP
P m
pP
r
m m
r
r
rP
m r
P P
r r r r r
m m
r r
VV
ce
L L
LV
L
V L
L
L
La T
a T L
A V
L V L L L
A V
m a
=
= = =
= = =
= = = =
= = = =
=
( )
2 2 2 2 3
3
2 2 2 3 2 7/ 2
Power Ratio: Pr=Fr.Vr=
r r r r r r r r r r r r r r r
r r r r r r r r r r r r
Q V L V V L V L L L
L V V L V L L L
ρ ρ ρ ρ ρ
ρ ρ ρ ρ
= = = =
= = =
53
FROUDE’S MODEL LAW
Q 1. In the model test of a spillway the discharge and velocity of flow
over the model were 2 m3/s and 1.5 m/s respectively. Calculate the
velocity and discharge over the prototype which is 36 times the
model size.
( ) ( )
( )
2.5 2.5p
m
2.5 3
For Discharge
Q
36
Q
36 2 15552 /sec
r
p
L
Q m
= =
= × =
p
m
For Dynamic Similarity,
Froude Model Law is used
V
36 6
V
6 1.5 9 /sec
r
p
L
V m
= = =
= × =
Solution: Given that
For Model
Discharge over model, Qm=2 m3/sec
Velocity over model, Vm = 1.5 m/sec
Linear Scale ratio, Lr =36
For Prototype
Discharge over prototype, Qp =?
Velocity over prototype Vp=?
54
FROUDE’S MODEL LAW
Q 2. The characteristics of the spillway are to be studied by means of a geometrically
similar model constructed to a scale of 1:10.
(i) If 28.3 cumecs, is the maximum rate of flow in prototype, what will be the
corresponding flow in model?
(i) If 2.4m/s, 50mm and 3.5 Nm are values of velocity at a point on the spillway, height
of hydraulic jump and energy dissipated per second in model, what will be the
corresponding velocity, height of hydraulic jump and energy dissipation per second in
prototype?
Solution: Given that
For Model
Discharge over model, Qm=?
Velocity over model, Vm = 2.4 m/sec
Height of hydraulic jump, Hm =50 mm
Energy dissipation per second, Em =3.5 Nm
Linear Scale ratio, Lr =10
For Prototype
Discharge over model, Qp=28.3 m3/sec
Velocity over model, Vp =?
Height of hydraulic jump, Hp =?
Energy dissipation per second, Ep =? 55
FROUDE’S MODEL LAW
p 2.5 2.5
m
2.5 3
p
m
For Discharge:
Q
10
Q
28.3/10 0.0895 /sec
For Velocity:
V
10
V
2.4 10 7.589 /sec
r
m
r
p
L
Q m
L
V m
= =
= =
= =
= × =
p
m
p 3.5 3.5
m
3.5
For Hydraulic Jump:
H
10
H
50 10 500
For Energy Dissipation:
E
10
E
3.5 10 11067.9 /sec
r
p
r
p
L
H mm
L
E Nm
= =
= × =
= =
= × =
56
CLASSIFICATION OF MODELS
Undistorted or True Models: are those which are geometrically similar
to prototype or in other words if the scale ratio for linear dimensions of
the model and its prototype is same, the models is called undistorted
model. The behavior of prototype can be easily predicted from the results
of undistorted or true model.
Distorted Models: A model is said to be distorted if it is not
geometrically similar to its prototype. For distorted models different scale
ratios for linear dimension are used.
For example, if for the river, both horizontal and vertical scale ratio are
taken to be same, then depth of water in the model of river will be very
very small which may not be measured accurately.
The followings are the advantages of distorted models
The vertical dimension of the model can be accurately measured
The cost of the model can be reduced
Turbulent flow in the model can be maintained
Though there are some advantage of distorted models, however the
results of such models cannot be directly transferred to prototype.
57
CLASSIFICATION OF MODELS
Scale Ratios for Distorted Models
( )
( )
( )
r
r
P
P
Let: L = Scale ratio for horizontal direction
L =Scale ratio for vertical direction
2
Scale Ratio for Velocity: Vr=V /
2
Scale Ratio for area of flow: Ar=A /
P P
H
m m
P
V
m
P
m r V
m
P P
m
m m
L B
L B
h
h
gh
V L
gh
B h
A
B h
=
=
= =
= = ( ) ( )
( ) ( ) ( ) ( ) ( )
3/2
PScale Ratio for discharge: Qr=Q /
V
r rH V
P P
m r r r r rH V V H
m m
L L
A V
Q L L L L L
A V
= = =
58
DISTORTED MODEL
Q 1. The discharge through a weir is 1.5 m3/s. Find the discharge
through the model of weir if the horizontal dimensions of the
model=1/50 the horizontal dimension of prototype and vertical
dimension of model =1/10 the vertical dimension of prototype.
( )
( )
( ) ( )
3
p
r
r
3/2
P
3/2
Solution:
Discharge of River= Q =1.5m /s
Scale ratio for horizontal direction= L =50
Scale ratio for vertical direction= L =10
Since Scale Ratio for discharge: Qr=Q /
/ 50 10
V
P
H
m
P
V
m
m r rH
p m
L
L
h
h
Q L L
Q Q
=
=
=
∴ = ×
3
1581.14
1.5/1581.14 0.000948 /mQ m s
=
⇒ = =
59
DISTORTED MODEL
Q 2. A river model is to be constructed to a vertical scale of 1:50 and a
horizontal of 1:200. At the design flood discharge of 450m3/s, the average
width and depth of flow are 60m and 4.2m respectively. Determine the
corresponding discharge in model and check the Reynolds’ Number of the
model flow.
( )
( )
( ) ( )
3
r
r
3/2
r P
3/ 2
arg 450 /
60 4.2
Horizontal scale ratio= L =200
Vertical scale ratio= L =50
Since Scale Ratio for discharge: Q =Q /
/ 200 50 7
V
p
p p
P
H
m
P
V
m
m r rH
p m
Disch e of River Q m s
Width B m and Depth y m
B
B
y
y
Q L L
Q Q
= =
= = = =
=
=
=
∴ = × =
3 3
0710.7
450/1581.14 6.365 10 /mQ m s−
⇒ = = ×
60
70710.7
DISTORTED MODEL
( )
( )
m
VL
Reynolds Number, Re =
4
/ 60/ 200 0.3
/ 4.2/50 0.084
0.3 0.084 0.0252
2 0.3 2 0.084 0.468
0.0252
0.05385
0.468
Kinematic Viscosity of w
m
m m
m p r H
m p r V
m m m
m m m
m
m
L R
Width B B L m
Depth y y L m
A B y m
P B y m
A
R
P
υ
 
 
 
=
= = = =
= = = =
= = × =
= + = + × =
= = =
6 2
6
ater = =1 10 /sec
4 4 0.253 0.05385
Re 54492.31
1 10
>2000
Flow is in turbulent range
m
m
VR
υ
υ
−
−
×
× ×   
= = =   
×   
∴ 61
PROBLEM
DIMENSIONAL ANALYSIS
Repeating variables
MODEL ANALYSIS
PROBLEM
DIMENSIONAL ANALYSIS
MODEL ANALYSIS
THANK YOU
68
WORKED PROBLEMS
69
For Model
• Pipe diameter=3 in
• Fluid=water
• Viscosity=1.21x10-5 ft2/s
For Prototype
• Pipe diameter= 3ft
• Liquid=SAE30
• viscosity=4.5x10-3 ft2/s
For Reynolds number similarity
P1. SAE 30 oil at is pumped through a 3-ft-diameter pipeline at a rate of 6400
gallon/min. A model of this pipeline is to be designed using a 3-in.-diameter pipe
and water at as the working fluid. To maintain Reynolds number similarity
between these two systems, what fluid velocity will be required in the model?
Pm
VDVD






=





νν
( ) sftAQVp
sftgallonQp
pp /02.234//26.14/
/26.14min/6400
2
3
=×==
=×=
π
p
m
p
p
m
m V
D
D
V 













=
ν
ν
sftVm /104.6 2−
×=
70
For Model
For Prototype
P2. Glycerin at 20oC flows with a velocity of 4 m/s through a 30-mm-diameter
tube. A model of this system is to be developed using standard air as the model
fluid. The air velocity is to be 2 m/s. What tube diameter is required for the
model if dynamic similarity is to be maintained between model and prototype?
Pm
VDVD






=





νν
p
m
p
p
m
m D
V
V
D 













=
ν
ν
mDm
3
10736.0 −
×=
71
For Model
• Fluid: water
• Viscosity@20oC =1.004x10-6
m2/s
• Vm=?
For Prototype
• Fluid: Sea water
• Viscosity@16.5oC=1.17x10-6
m2/s
• Vp=30 m/s
P3. The drag characteristics of a torpedo are to be studied in a water tunnel
using a 1 : 5 scale model. The tunnel operates with freshwater at 20oc , whereas
the prototype torpedo is to be used in seawater at 15.6oc. To correctly simulate
the behaviour of the prototype moving with a velocity of 30 m/s, what velocity is
required in the water tunnel?
Pm
VDVD






=





νν
p
m
p
p
m
m V
D
D
V 













=
ν
ν
smVm /129=
72
For Model
• dm=0.1m
• Vm=1.2m/s
For Prototype
dp=3m
Vp=?
For Froude No. Similarity
P4. The design of a river model is to be based on Froude number similarity, and a
river depth of 3 m is to correspond to a model depth of 100 mm. Under these
conditions what is the prototype velocity corresponding to a model velocity of
1.2 ms?
Pm
gd
V
gd
V








=








( )
m
pp
gd
V
gdV








=
smVp /11=
73
For Model
• lm=0.9m
• Qm?
For Prototype
• lp= 65m
• Qp=40m3/s
For Froude number similarity
P5. Water flows at a rate of 40 m3/s through the spillway of a dam which is 65 m
wide. A model spillway, having a width of 0.9 m, is to be constructed and tested
in the laboratory. What is the required flowrate in the model?
Pm
gd
V
gd
V








=








smQ
lQQ
ll
VA
VA
Q
Q
m
rpm
rr
mm
Pp
m
p
/1002.9
/
34
5.2
2/12
−
×=
=
==








=





m
p
m
p
gd
gd
V
V
( )mpr ddl /=
74
P12. The drag characteristics for a newly designed automobile having a maximum
characteristic length of 20 ft are to be determined through a model study. The
characteristics at both low speed (approximately 20 mph) and high speed (90
mph) are of interest. For a series of projected model tests, an unpressurized
wind tunnel that will accommodate a model with a maximum characteristic length
of 4 ft is to be used. Determine the range of air velocities that would be required
for the wind tunnel if Reynolds number similarity is desired. Are the velocities
suitable? Explain.?
Pm
VDVD






=





νν
p
m
p
p
m
m V
D
D
V 













=
ν
ν
Since the wind tunnel is unpressurized, the air properties will be
approximately the same for model and prototype
ppp
m
p
m VVV
l
l
V 5
4
20
=





=





=
At low speed At high speed
( ) mphVm 100205 == ( ) mphVm 450905 ==
At high velocity in wind tunnel, compressibility of the air would start to
become an important factor, whereas compressibility is not important for
the prototype. Thus velocity required for the model would not be suitable
76
For more worked problems refer to
Civil Engineering Hydraulics by Nalluri and Featherstone
(Worked problems 9.1 to 9.11)
THANK YOU
78

Weitere ähnliche Inhalte

Was ist angesagt?

Flow Through Orifices - Hydraulics
Flow Through Orifices - HydraulicsFlow Through Orifices - Hydraulics
Flow Through Orifices - HydraulicsEngr. M Jalal Sarwar
 
Open Channel VS Pipe Flow
Open Channel VS Pipe FlowOpen Channel VS Pipe Flow
Open Channel VS Pipe FlowFatma Abdalla
 
Fluid Mechanics - Fluid Pressure and its measurement
Fluid Mechanics - Fluid Pressure and its measurementFluid Mechanics - Fluid Pressure and its measurement
Fluid Mechanics - Fluid Pressure and its measurementMalla Reddy University
 
Types of flow in open channel
Types of flow in open channelTypes of flow in open channel
Types of flow in open channelMir Zafarullah
 
ORIFICES AND MOUTHPIECES
ORIFICES AND MOUTHPIECESORIFICES AND MOUTHPIECES
ORIFICES AND MOUTHPIECESHome
 
Presentation on notches and weirs
Presentation on notches and weirsPresentation on notches and weirs
Presentation on notches and weirssush_vyas
 
Flow In Pipes
Flow In PipesFlow In Pipes
Flow In PipesIla Lee
 
Fluid Mechanics Chapter 5. Dimensional Analysis and Similitude
Fluid Mechanics Chapter 5. Dimensional Analysis and SimilitudeFluid Mechanics Chapter 5. Dimensional Analysis and Similitude
Fluid Mechanics Chapter 5. Dimensional Analysis and SimilitudeAddisu Dagne Zegeye
 
Chapter 8:Hydraulic Jump and its characterstics
Chapter 8:Hydraulic Jump and its charactersticsChapter 8:Hydraulic Jump and its characterstics
Chapter 8:Hydraulic Jump and its charactersticsBinu Khadka
 
Boundary layer theory
Boundary layer theoryBoundary layer theory
Boundary layer theorySanmitaVarma
 
120218 chapter 8 momentum analysis of flow
120218 chapter 8 momentum analysis of flow120218 chapter 8 momentum analysis of flow
120218 chapter 8 momentum analysis of flowBinu Karki
 
UNIT 1 UNIFORM FLOW.pptx
UNIT 1 UNIFORM FLOW.pptxUNIT 1 UNIFORM FLOW.pptx
UNIT 1 UNIFORM FLOW.pptxreenarana28
 

Was ist angesagt? (20)

Flow Through Orifices - Hydraulics
Flow Through Orifices - HydraulicsFlow Through Orifices - Hydraulics
Flow Through Orifices - Hydraulics
 
Fluid Mechanics - Fluid Properties
Fluid Mechanics - Fluid PropertiesFluid Mechanics - Fluid Properties
Fluid Mechanics - Fluid Properties
 
Open Channel VS Pipe Flow
Open Channel VS Pipe FlowOpen Channel VS Pipe Flow
Open Channel VS Pipe Flow
 
Boundary layer
Boundary layerBoundary layer
Boundary layer
 
Fluid Mechanics - Fluid Pressure and its measurement
Fluid Mechanics - Fluid Pressure and its measurementFluid Mechanics - Fluid Pressure and its measurement
Fluid Mechanics - Fluid Pressure and its measurement
 
Types of flow in open channel
Types of flow in open channelTypes of flow in open channel
Types of flow in open channel
 
Open channel flow
Open channel flowOpen channel flow
Open channel flow
 
ORIFICES AND MOUTHPIECES
ORIFICES AND MOUTHPIECESORIFICES AND MOUTHPIECES
ORIFICES AND MOUTHPIECES
 
Presentation on notches and weirs
Presentation on notches and weirsPresentation on notches and weirs
Presentation on notches and weirs
 
Flow In Pipes
Flow In PipesFlow In Pipes
Flow In Pipes
 
Fluid Mechanics Chapter 5. Dimensional Analysis and Similitude
Fluid Mechanics Chapter 5. Dimensional Analysis and SimilitudeFluid Mechanics Chapter 5. Dimensional Analysis and Similitude
Fluid Mechanics Chapter 5. Dimensional Analysis and Similitude
 
Chapter 8:Hydraulic Jump and its characterstics
Chapter 8:Hydraulic Jump and its charactersticsChapter 8:Hydraulic Jump and its characterstics
Chapter 8:Hydraulic Jump and its characterstics
 
Flow through pipes
Flow through pipesFlow through pipes
Flow through pipes
 
Boundary layer theory
Boundary layer theoryBoundary layer theory
Boundary layer theory
 
(Part i)- open channels
(Part i)- open channels(Part i)- open channels
(Part i)- open channels
 
Boundary layer theory
Boundary layer theoryBoundary layer theory
Boundary layer theory
 
Losses in Pipe
Losses in PipeLosses in Pipe
Losses in Pipe
 
120218 chapter 8 momentum analysis of flow
120218 chapter 8 momentum analysis of flow120218 chapter 8 momentum analysis of flow
120218 chapter 8 momentum analysis of flow
 
Notches and weir
Notches and weirNotches and weir
Notches and weir
 
UNIT 1 UNIFORM FLOW.pptx
UNIT 1 UNIFORM FLOW.pptxUNIT 1 UNIFORM FLOW.pptx
UNIT 1 UNIFORM FLOW.pptx
 

Andere mochten auch

Dimensional analysis.ppt
Dimensional analysis.pptDimensional analysis.ppt
Dimensional analysis.pptcpphysics
 
10. fm dimensional analysis adam
10. fm dimensional analysis adam10. fm dimensional analysis adam
10. fm dimensional analysis adamZaza Eureka
 
Venturimeter (FLUID MECHANICS)
Venturimeter (FLUID MECHANICS)Venturimeter (FLUID MECHANICS)
Venturimeter (FLUID MECHANICS)45208120968
 
VENTURIMETER -Application of Bernoulli's Law
VENTURIMETER -Application of Bernoulli's LawVENTURIMETER -Application of Bernoulli's Law
VENTURIMETER -Application of Bernoulli's LawKundan Kumar
 
Fisika venturimeter
Fisika venturimeterFisika venturimeter
Fisika venturimeterDella Nadya
 
Chapter 6 concrete dam engineering with examples
Chapter 6 concrete dam engineering with examplesChapter 6 concrete dam engineering with examples
Chapter 6 concrete dam engineering with examplesMohsin Siddique
 
flow through venturimeter
flow through venturimeterflow through venturimeter
flow through venturimeterPulkit Shukla
 

Andere mochten auch (10)

Dimensional analysis.ppt
Dimensional analysis.pptDimensional analysis.ppt
Dimensional analysis.ppt
 
10. fm dimensional analysis adam
10. fm dimensional analysis adam10. fm dimensional analysis adam
10. fm dimensional analysis adam
 
Venturimeter (FLUID MECHANICS)
Venturimeter (FLUID MECHANICS)Venturimeter (FLUID MECHANICS)
Venturimeter (FLUID MECHANICS)
 
VENTURIMETER -Application of Bernoulli's Law
VENTURIMETER -Application of Bernoulli's LawVENTURIMETER -Application of Bernoulli's Law
VENTURIMETER -Application of Bernoulli's Law
 
Fisika venturimeter
Fisika venturimeterFisika venturimeter
Fisika venturimeter
 
Flow of Fluids
Flow of FluidsFlow of Fluids
Flow of Fluids
 
Chapter 6 concrete dam engineering with examples
Chapter 6 concrete dam engineering with examplesChapter 6 concrete dam engineering with examples
Chapter 6 concrete dam engineering with examples
 
Chapter 1(3)DIMENSIONAL ANALYSIS
Chapter 1(3)DIMENSIONAL ANALYSISChapter 1(3)DIMENSIONAL ANALYSIS
Chapter 1(3)DIMENSIONAL ANALYSIS
 
Flow measurement
Flow measurementFlow measurement
Flow measurement
 
flow through venturimeter
flow through venturimeterflow through venturimeter
flow through venturimeter
 

Ähnlich wie Hydraulic similitude and model analysis

UNIT - III.ppt
UNIT - III.pptUNIT - III.ppt
UNIT - III.pptAJIN49
 
Dimensional analysis - Part 1
Dimensional analysis - Part 1 Dimensional analysis - Part 1
Dimensional analysis - Part 1 Ramesh B R
 
Dimension Analysis in Fluid mechanics
Dimension Analysis in Fluid mechanics Dimension Analysis in Fluid mechanics
Dimension Analysis in Fluid mechanics Ravaliya Nirmal
 
Dimensional analysis
Dimensional analysisDimensional analysis
Dimensional analysisRonak Parmar
 
dimensioanalysis-180614115528 (1).pdf
dimensioanalysis-180614115528 (1).pdfdimensioanalysis-180614115528 (1).pdf
dimensioanalysis-180614115528 (1).pdfsaptarshichatterjee33
 
Dimensional Analysis.pptx
Dimensional Analysis.pptxDimensional Analysis.pptx
Dimensional Analysis.pptxsachinpawar218
 
Lec 2 FM-II by Dr. Mubashir Qureshi
Lec 2 FM-II by Dr. Mubashir QureshiLec 2 FM-II by Dr. Mubashir Qureshi
Lec 2 FM-II by Dr. Mubashir QureshiCivil Zone
 
dimensional_analysis.pptx
dimensional_analysis.pptxdimensional_analysis.pptx
dimensional_analysis.pptxDinaSaad22
 
008a (PPT) Dim Analysis & Similitude.pdf
008a (PPT) Dim Analysis & Similitude.pdf008a (PPT) Dim Analysis & Similitude.pdf
008a (PPT) Dim Analysis & Similitude.pdfhappycocoman
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 
Dimensional-Analysis-Mr-Raman-Gahlaut.pdf
Dimensional-Analysis-Mr-Raman-Gahlaut.pdfDimensional-Analysis-Mr-Raman-Gahlaut.pdf
Dimensional-Analysis-Mr-Raman-Gahlaut.pdfMalluKomar
 
NS 6141 - Physical quantities.pptx
NS 6141 - Physical quantities.pptxNS 6141 - Physical quantities.pptx
NS 6141 - Physical quantities.pptxcharleskadala21
 
Optimization of sample configurations for spatial trend estimation
Optimization of sample configurations for spatial trend estimationOptimization of sample configurations for spatial trend estimation
Optimization of sample configurations for spatial trend estimationAlessandro Samuel-Rosa
 

Ähnlich wie Hydraulic similitude and model analysis (20)

UNIT - III.ppt
UNIT - III.pptUNIT - III.ppt
UNIT - III.ppt
 
Dimensional analysis - Part 1
Dimensional analysis - Part 1 Dimensional analysis - Part 1
Dimensional analysis - Part 1
 
Dimension Analysis in Fluid mechanics
Dimension Analysis in Fluid mechanics Dimension Analysis in Fluid mechanics
Dimension Analysis in Fluid mechanics
 
Dimesional Analysis
Dimesional Analysis Dimesional Analysis
Dimesional Analysis
 
Dimensional analysis
Dimensional analysisDimensional analysis
Dimensional analysis
 
dimensioanalysis-180614115528 (1).pdf
dimensioanalysis-180614115528 (1).pdfdimensioanalysis-180614115528 (1).pdf
dimensioanalysis-180614115528 (1).pdf
 
Dimensional Analysis.pptx
Dimensional Analysis.pptxDimensional Analysis.pptx
Dimensional Analysis.pptx
 
Lec 2 FM-II by Dr. Mubashir Qureshi
Lec 2 FM-II by Dr. Mubashir QureshiLec 2 FM-II by Dr. Mubashir Qureshi
Lec 2 FM-II by Dr. Mubashir Qureshi
 
Pakdd
PakddPakdd
Pakdd
 
dimensional_analysis.pptx
dimensional_analysis.pptxdimensional_analysis.pptx
dimensional_analysis.pptx
 
008a (PPT) Dim Analysis & Similitude.pdf
008a (PPT) Dim Analysis & Similitude.pdf008a (PPT) Dim Analysis & Similitude.pdf
008a (PPT) Dim Analysis & Similitude.pdf
 
Lecture 04
Lecture 04Lecture 04
Lecture 04
 
UNIT-III FMM
UNIT-III FMMUNIT-III FMM
UNIT-III FMM
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
Unit3
Unit3Unit3
Unit3
 
Dimensional-Analysis-Mr-Raman-Gahlaut.pdf
Dimensional-Analysis-Mr-Raman-Gahlaut.pdfDimensional-Analysis-Mr-Raman-Gahlaut.pdf
Dimensional-Analysis-Mr-Raman-Gahlaut.pdf
 
NS 6141 - Physical quantities.pptx
NS 6141 - Physical quantities.pptxNS 6141 - Physical quantities.pptx
NS 6141 - Physical quantities.pptx
 
5_2021_11_08!.ppt
5_2021_11_08!.ppt5_2021_11_08!.ppt
5_2021_11_08!.ppt
 
Optimization of sample configurations for spatial trend estimation
Optimization of sample configurations for spatial trend estimationOptimization of sample configurations for spatial trend estimation
Optimization of sample configurations for spatial trend estimation
 

Mehr von Mohsin Siddique

Engineering Economics: Solved exam problems [ch1-ch4]
Engineering Economics: Solved exam problems [ch1-ch4]Engineering Economics: Solved exam problems [ch1-ch4]
Engineering Economics: Solved exam problems [ch1-ch4]Mohsin Siddique
 
Basics of image processing using MATLAB
Basics of image processing using MATLABBasics of image processing using MATLAB
Basics of image processing using MATLABMohsin Siddique
 
Particle image velocimetry
Particle image velocimetryParticle image velocimetry
Particle image velocimetryMohsin Siddique
 
Basics of image processing & analysis
Basics of image processing & analysisBasics of image processing & analysis
Basics of image processing & analysisMohsin Siddique
 
Chapter 5 coastal structures
Chapter  5 coastal structuresChapter  5 coastal structures
Chapter 5 coastal structuresMohsin Siddique
 
Chapter 4 Introduction to beach processes and management strategies
Chapter  4 Introduction to beach processes and management strategiesChapter  4 Introduction to beach processes and management strategies
Chapter 4 Introduction to beach processes and management strategiesMohsin Siddique
 
Chapter 3 linear wave theory and wave propagation
Chapter  3 linear wave theory and wave propagationChapter  3 linear wave theory and wave propagation
Chapter 3 linear wave theory and wave propagationMohsin Siddique
 
Chapter 2 wave and tides with examples
Chapter  2 wave and tides with examplesChapter  2 wave and tides with examples
Chapter 2 wave and tides with examplesMohsin Siddique
 
Chapter 1 introduction to coastal engineering and management strategies
Chapter  1 introduction to coastal engineering and management strategiesChapter  1 introduction to coastal engineering and management strategies
Chapter 1 introduction to coastal engineering and management strategiesMohsin Siddique
 
Chapter 5 drop sturcutures
Chapter 5 drop sturcuturesChapter 5 drop sturcutures
Chapter 5 drop sturcuturesMohsin Siddique
 
Chapter 4 seepage theories
Chapter 4 seepage theoriesChapter 4 seepage theories
Chapter 4 seepage theoriesMohsin Siddique
 
Chapter 3 channel design
Chapter 3  channel designChapter 3  channel design
Chapter 3 channel designMohsin Siddique
 
Chapter 2 open channel hydraulics
Chapter 2 open channel hydraulicsChapter 2 open channel hydraulics
Chapter 2 open channel hydraulicsMohsin Siddique
 
Chapter 7 spillway and energy dissipators
Chapter 7 spillway and energy dissipatorsChapter 7 spillway and energy dissipators
Chapter 7 spillway and energy dissipatorsMohsin Siddique
 
Chapter 1 introduction to hydraulics structures history...
Chapter  1 introduction to hydraulics structures history...Chapter  1 introduction to hydraulics structures history...
Chapter 1 introduction to hydraulics structures history...Mohsin Siddique
 
Fluid MechanicsVortex flow and impulse momentum
Fluid MechanicsVortex flow and impulse momentumFluid MechanicsVortex flow and impulse momentum
Fluid MechanicsVortex flow and impulse momentumMohsin Siddique
 
Dymanics of open channel flow
Dymanics of open channel flowDymanics of open channel flow
Dymanics of open channel flowMohsin Siddique
 
Fluid MechanicsLosses in pipes dynamics of viscous flows
Fluid MechanicsLosses in pipes dynamics of viscous flowsFluid MechanicsLosses in pipes dynamics of viscous flows
Fluid MechanicsLosses in pipes dynamics of viscous flowsMohsin Siddique
 

Mehr von Mohsin Siddique (20)

Engineering Economics: Solved exam problems [ch1-ch4]
Engineering Economics: Solved exam problems [ch1-ch4]Engineering Economics: Solved exam problems [ch1-ch4]
Engineering Economics: Solved exam problems [ch1-ch4]
 
Basics of image processing using MATLAB
Basics of image processing using MATLABBasics of image processing using MATLAB
Basics of image processing using MATLAB
 
Particle image velocimetry
Particle image velocimetryParticle image velocimetry
Particle image velocimetry
 
Basics of image processing & analysis
Basics of image processing & analysisBasics of image processing & analysis
Basics of image processing & analysis
 
Chapter 5 coastal structures
Chapter  5 coastal structuresChapter  5 coastal structures
Chapter 5 coastal structures
 
Chapter 4 Introduction to beach processes and management strategies
Chapter  4 Introduction to beach processes and management strategiesChapter  4 Introduction to beach processes and management strategies
Chapter 4 Introduction to beach processes and management strategies
 
Chapter 3 linear wave theory and wave propagation
Chapter  3 linear wave theory and wave propagationChapter  3 linear wave theory and wave propagation
Chapter 3 linear wave theory and wave propagation
 
Chapter 2 wave and tides with examples
Chapter  2 wave and tides with examplesChapter  2 wave and tides with examples
Chapter 2 wave and tides with examples
 
Chapter 1 introduction to coastal engineering and management strategies
Chapter  1 introduction to coastal engineering and management strategiesChapter  1 introduction to coastal engineering and management strategies
Chapter 1 introduction to coastal engineering and management strategies
 
Chapter 5 drop sturcutures
Chapter 5 drop sturcuturesChapter 5 drop sturcutures
Chapter 5 drop sturcutures
 
Chapter 4 seepage theories
Chapter 4 seepage theoriesChapter 4 seepage theories
Chapter 4 seepage theories
 
Chapter 3 channel design
Chapter 3  channel designChapter 3  channel design
Chapter 3 channel design
 
Chapter 2 open channel hydraulics
Chapter 2 open channel hydraulicsChapter 2 open channel hydraulics
Chapter 2 open channel hydraulics
 
Chapter 7 spillway and energy dissipators
Chapter 7 spillway and energy dissipatorsChapter 7 spillway and energy dissipators
Chapter 7 spillway and energy dissipators
 
Chapter 1 introduction to hydraulics structures history...
Chapter  1 introduction to hydraulics structures history...Chapter  1 introduction to hydraulics structures history...
Chapter 1 introduction to hydraulics structures history...
 
Buoyancy and floatation
Buoyancy and floatationBuoyancy and floatation
Buoyancy and floatation
 
Fluid MechanicsVortex flow and impulse momentum
Fluid MechanicsVortex flow and impulse momentumFluid MechanicsVortex flow and impulse momentum
Fluid MechanicsVortex flow and impulse momentum
 
Dymanics of open channel flow
Dymanics of open channel flowDymanics of open channel flow
Dymanics of open channel flow
 
Fluid MechanicsLosses in pipes dynamics of viscous flows
Fluid MechanicsLosses in pipes dynamics of viscous flowsFluid MechanicsLosses in pipes dynamics of viscous flows
Fluid MechanicsLosses in pipes dynamics of viscous flows
 
Fluid dynamic
Fluid dynamicFluid dynamic
Fluid dynamic
 

Kürzlich hochgeladen

Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . pptDineshKumar4165
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdfAldoGarca30
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptxJIT KUMAR GUPTA
 
School management system project Report.pdf
School management system project Report.pdfSchool management system project Report.pdf
School management system project Report.pdfKamal Acharya
 
Online electricity billing project report..pdf
Online electricity billing project report..pdfOnline electricity billing project report..pdf
Online electricity billing project report..pdfKamal Acharya
 
Wadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxWadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxNadaHaitham1
 
Block diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.pptBlock diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.pptNANDHAKUMARA10
 
Online food ordering system project report.pdf
Online food ordering system project report.pdfOnline food ordering system project report.pdf
Online food ordering system project report.pdfKamal Acharya
 
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueDouble Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueBhangaleSonal
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VDineshKumar4165
 
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Call Girls Mumbai
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXssuser89054b
 
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptxOrlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptxMuhammadAsimMuhammad6
 
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityA Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityMorshed Ahmed Rahath
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...Amil baba
 
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxWork-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxJuliansyahHarahap1
 
Verification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptxVerification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptxchumtiyababu
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaOmar Fathy
 

Kürzlich hochgeladen (20)

Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 
School management system project Report.pdf
School management system project Report.pdfSchool management system project Report.pdf
School management system project Report.pdf
 
Online electricity billing project report..pdf
Online electricity billing project report..pdfOnline electricity billing project report..pdf
Online electricity billing project report..pdf
 
Wadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxWadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptx
 
Block diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.pptBlock diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.ppt
 
Online food ordering system project report.pdf
Online food ordering system project report.pdfOnline food ordering system project report.pdf
Online food ordering system project report.pdf
 
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueDouble Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
 
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptxOrlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
 
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityA Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna Municipality
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
 
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced LoadsFEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
 
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxWork-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
 
Verification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptxVerification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptx
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS Lambda
 

Hydraulic similitude and model analysis

  • 1. DIMENSIONAL ANALYSIS, SIMILITUDE AND MODEL ANALYSIS DR. MOHSIN SIDDIQUE ASSISTANT PROFESSOR
  • 2. BACKGROUND Although many practical engineering problems involving fluid mechanics can be solved by • Equations and Analytical procedures yet a large number of problems rely on experimental data for their solution In fact, very few problems involving real fluids can be solved by analytical analysis alone In general, solution is obtained through the use of a combination of analysis and experimental data An obvious goal of any experiment is to make the results as widely applicable as possible To achieve this goal, the concept of similitude is often used so that measurements made on one system (Laboratory) can be used to describe the behavior of other systems (Outside of laboratory) 2
  • 3. BACKGROUND The laboratory systems are usually thought of as models and are used to study the phenomenon of interest under carefully controlled conditions From these model studies, empirical formulations can be developed, or specific predictions of one or more characteristics of some other similar system can be made However, to do this, it is necessary to establish the relationship between the laboratory model and the “other” system In present topic, we will learn how to achieve this in a systematic manner 3
  • 4. BACKGROUND Dimensional Analysis to predict the physical parameters that will significantly influence phenomenon under study Similitude and Model analysis to investigate the complexity of phenomenon in details Application of knowledge on actual/prototype model Wind turbine Dam/spillway Sudden contraction in pipes 4
  • 5. DIMENSIONAL ANALYSIS Introduction: Dimensional Analysis is a mathematical technique making use of study of dimensions It deals with the dimensions of physical quantities involved in the phenomenon In dimensional analysis, one first predicts the physical parameters that will influence the flow, and then by, grouping these parameters in dimensionless combinations a better understanding of the flow phenomenon is made possible It is particularly helpful in experimental work because it provides a guide to those things that significantly influence the phenomena; thus it indicates the direction in which the experimental work should go This mathematical technique is used in research work for design and for conducting model tests 5
  • 6. TYPES OF DIMENSIONS There are two types of dimensions • Fundamental Dimensions or Fundamental Quantities • Secondary Dimensions or Derived Quantities Fundamental Dimensions or Fundamental Quantities: These are basic quantities. For Example; • Time, T • Distance, L • Mass, M Time, T Distance, L, Force, F Force=Mass x Acceleration = MLT-2 6
  • 7. TYPES OF DIMENSIONS Secondary Dimensions or Derived Quantities The are those quantities which posses more than one fundamental dimensions. For example; • Velocity is denoted by distance per unit time L/T • Acceleration is denoted by distance per unit time square L/T2 • Density is denoted by mass per unit volume M/L3 Since velocity, density and acceleration involve more than one fundamental quantities so these are called derived quantities. 7
  • 8. Characteristics Unit (SI) Dimension (MLT) Dimension (FLT) Geometry Length m L Area m2 L2 Volume m3 L3 Kinematic Time S T Velocity m/S L/T Acceleration m/S2 L/T2 Discharge m3/S L3/T Dynamic Mass Kg M FL-1T2 Force N (Kg-m/S2) MLT-2 F Pressure Pa (N/m2) ML-1T-2 FL-2 Energy J (N-m) ML2T-2 FL Power Watt (N-m/S) ML2T-3 FLT-1 Table: Flow Characteristics, units and Dimensions 8
  • 9. METHODOLOGY OF DIMENSIONAL ANALYSIS The basic principle is Dimensional Homogeneity, which means the dimensions of each terms in an equation on both sides are equal. So such an equation, in which dimensions of each term on both sides of equation are same, is known as Dimensionally Homogeneous Equation. Such equations are independent of system of units. For example; Lets consider the equation V=(2gH)1/2 • Dimensions of LHS=V=L/T=LT-1 • Dimensions of RHS=(2gH)1/2=(L/T2xL)1/2=LT-1 • Dimensions of LHS = Dimensions of RHS So the equation V=(2gH)1/2 is dimensionally homogeneous equation. 9
  • 10. METHODS OF DIMENSIONAL ANALYSIS If the number of variables involved in a physical phenomenon are known, then the relation among the variables can be determined by the following two methods; • Rayleigh’s Method • Buckingham’s π-Theorem Rayleigh’s Method: It is used for determining expression for a variable (dependent) which depends upon maximum three to four variables (Independent) only. If the number of independent variables are more than 4 then it is very difficult to obtain expression for dependent variable. Let X is a dependent variable which depends upon X1, X2, and X3 as independent variables. Then according to Rayleigh’s Method X=f(X1, X2, X3) which can be written as X=K X1 a, X2 b, X3 c Where K is a non-dimensional constant and a, b, c are arbitrary powers which are obtained by comparing the powers of fundamental dimensions (Dimensional Homogeneity). 10
  • 11. RAYLEIGH’S METHOD Q. The resisting force R of a supersonic plane during flight can be considered as dependent upon the length of the aircraft l, velocity V, air viscosity µ, air density ρ, and bulk modulus of air k. Express the functional relationship between the variables and the resisting force. -2 1 1 1 3 1 2 ( , , , , ) , , , , (1) Where: A = Non dimensional constant Substituting the powers on both sides of the equation ( ) ( ) ( ) ( ) Equating the powers of MLT on both a b c d e a b c d e R f l V K R Al V K MLT AL LT ML T ML ML T µ ρ µ ρ − − − − − − = ⇒ = = sides Power of M 1 Power of L 1 - -3 - Power of T 2 - - -2 c d e a b c d e b c e ⇒ = + + ⇒ = + ⇒ − = Solution: 11
  • 12. RAYLEIGH’S METHOD Since the unkown(5) are more than number of equations(3). So expressing a, b & c in terms of d & e 1- - 2- - 2 1- 3 1-(2- - 2 ) 3(1- - ) 1-2 2 3-3 -3 2- Substituting the values d c e b c e a b c d e c e c c e e c e c c e e c = = = + + + = + + + = + + + + + = 2 2 2 1 2 2 2 2 2 2 2 2 2 in (1), we get ( )( )c c e c c e e c c c c e e e c e R Al V K Al V l V V K K R A l V Vl V K R A l V Vl V µ ρ ρ µ ρ ρ µ ρ ρ ρ µ ρ φ ρ ρ − − − − − − − − − − = =      =                =         OR 12
  • 13. RAYLEIGH’S METHOD ( )ρ,Kfu = ( )ba KCu ρ,= 13
  • 16. BUCKINGHAM’S Π-THEOREM: Buckingham’s π-Theorem: Since Rayleigh’s Method becomes laborious if variables are more than fundamental dimensions (MLT), so the difficulty is overcome by Buckingham’s π-Theorem which states that “If there are n variables (Independent and Dependent) in a physical phenomenon and if these variables contain m fundamental dimensions then the variables are arranged into (n-m) dimensionless terms which are called π-terms.” Let X1, X2, X3,…,X4, Xn are the variables involved in a physical problem. Let X1 be the dependent variable and X2, X3, X4,…,Xn are the independent variables on which X1 depends. Mathematically it can be written as X1=f(X2 ,X3 ,X4 ,Xn) which can be rewritten as f(X1X2 ,X3 ,X4 ,Xn)=0 Above equation is dimensionally homogenous. It contain n variables and if there are m fundamental dimensions then it can be written in terms of dimensions groups called π-terms which are equal to (n-m) Hence; f(π1, π2 π3,… πn-m)=0 16
  • 17. BUCKINGHAM’S Π-THEOREM: Properties of π-terms: • Each π-term is dimensionless and is independent of system of units. • Division or multiplication by a constant does not change the character of the π-terms. • Each π-term contains m+1 variables, where m is the number of fundamental dimensions and also called repeating variable. Let in the above case X2, X3, X4 are repeating variables and if fundamental dimensions m = 3 then each π-term is written as Π1=X2 a1. X3 b1. X4 c1 .X1 Π2=X2 a2. X3 b2. X4 c2 .X5 . . Πn-m=X2 a(n-m). X3 b(n-m). X4 a(n-m) .Xn Each equation is solved by principle of dimensionless homogeneity and values of a1, b1 & c1 etc are obtained. Final result is in the form of Π1=ϕ’(Π2, Π3, Π4 ,…, Π(n-m)) Π2=ϕ”(Π1, Π3, Π4 ,…, Π(n-m)) 17
  • 18. METHODS OF SELECTING REPEATING VARIABLES The number of repeating variables are equal to number of fundamental dimensions of the problem. The choice of repeating variables is governed by following considerations; • As far as possible, dependent variable should not be selected as repeating variable • The repeating variables should be chosen in such a way that one variable contains geometric property, other contains flow property and third contains fluid property • The repeating variables selected should form a dimensionless group • The repeating variables together must contain all three fundamental dimension i.e., MLT • No two repeating variables should have the same dimensions. Note: In most of fluid mechanics problems, the choice of repeating variables may be (i) d, v, ρ, (ii) l, v, ρ or (iii) d, v, µ. 18
  • 19. BUCKINGHAM’S Π-THEOREM: Q 1. The resisting force R of a supersonic plane during flight can be considered as dependent upon the length of the aircraft l, velocity V, air viscosity µ, air density ρ, and bulk modulus of air k. Express the functional relationship between the variables and the resisting force. 1 2 3 ( , , , , ) ( , , , , , ) 0 Total number of variables, n= 6 No. of fundamental dimension, m=3 No. of dimensionless -terms, n-m=3 Thus: ( , , ) 0 No. Repeating variables =m=3 Repeating variables = , R f l V K f R l V K f l µ ρ µ ρ π π π π = ⇒ = = 1 1 1 1 2 2 2 2 3 3 3 3 , π-terms are written as a b c a b c a b c V Thus l V R l V l V K ρ π ρ π ρ µ π ρ = = = 19
  • 20. BUCKINGHAM’S Π-THEOREM: Now each Pi-term is solved by the principle of dimensional homogeneity 1 1 1 3 1 2 1 1 1 1 1 1 1 1 1 ( ) ( ) Equating the powers of MLT on both sides, we get Power of M: 0=c +1 c =-1 Power of L: 0=a +b -3c +1 2 Power of T: 0=-b -2 b =-2 o o o a b c term M L T L LT ML MLT a π − − − − ⇒ = ⇒ ⇒ = − ⇒ ∴ -2 -2 -2 1 1 2 2 2 1 2 3 2 1 1 2 2 2 2 2 2 2 ( ) ( ) Equating the powers of MLT on both sides, we get Power of M: 0 1 -1 Power of L: 0 -3 -1 1 Pow o o o a b c R l V R L V term M L T L LT ML ML T c c a b c a π ρ π ρ π − − − − = ⇒ = − ⇒ = = + ⇒ = = + ⇒ = − 2 2 -1 -1 -1 2 2 er of T: 0 - -1 -1b b l V lV µ π ρ µ π ρ = ⇒ = ∴ = ⇒ = 20
  • 21. BUCKINGHAM’S Π-THEOREM: 3 1 3 3 3 1 2 3 3 3 3 3 3 3 3 3 ( ) ( ) Equating the powers of MLT on both sides, we get Power of M: 0 1 -1 Power of L: 0 -3 -1 0 Power of T: 0 - - 2 -2 o o o a b c term M L T L LT ML ML T c c a b c a b b π − − − − − ⇒ = = + ⇒ = = + ⇒ = − = ⇒ = ∴ 0 -2 -1 3 2 2 1 2 3 2 2 2 2 2 2 2 2 2 ( ) , , 0 , , K l V K V Hence R K f f or l V lV V R K K R l V l V lV V lV V π ρ π ρ µ π π π ρ ρ ρ µ µ φ ρ φ ρ ρ ρ ρ ρ = ⇒ =   = =        = ⇒ =        21
  • 22. BUCKINGHAM’S Π-THEOREM: Q 2. A thin rectangular plate having a width, w, and height, h, is located so that it is normal to a moving stream of fluid. Assume the drag D, that the fluid exerts on the plate is a function of w and h, the fluid viscosity and density µ, and ρ, respectively, and velocity V of the fluid approaching the plate. Determine a suitable set of pi terms to study this problem experimentally ( )Vhwf ,,,,D :can writeweproblem,ofstatementtheFrom ρµ= 33-6m-nterms,piofNo. 3mdimension,lfundamentaofNo. 6n,variablesofnumberTotal == = = V,w, variablesRepeating ρ 1 11 2 ,,D aresystemMLTusingvariablesofdimensionThe − −− = = === LTV TML LhLwMLT - µ 22
  • 23. BUCKINGHAM’S Π-THEOREM: 333 3 222 2 111 1 ,, aswrittenbecantermspitheNow cbacbacba VwVhwVDw ρµπρπρπ === ( )( ) ( ) ( ) ρ π ρπ ρπ π 221 122 1 111 1 111 1 131112000 111 1 1 D D -1cand-2b-2,aTherefore, b--20:TFor 3c-ba10:LFor 10:MFor D :For Vw Vw c MLLTLMLTTLM Vw cba cba = = === = ++= += = = −−− −−− 23
  • 24. BUCKINGHAM’S Π-THEOREM: 333 3 222 2 111 1 ,, aswrittenbecantermspitheNow cbacbacba VwVhwVDw ρµπρπρπ === ( )( ) ( ) ( ) w h Vhw c MLLTLLTLM Vhw cba cba = = === = ++= = = = − −− 2 001 2 222 2 222 2 23212000 222 2 2 0cand0b-1,aTherefore, -b0:TFor 3c-ba10:LFor 0:MFor :For π ρπ ρπ π 24
  • 25. BUCKINGHAM’S Π-THEOREM: 333 3 222 2 111 1 ,, aswrittenbecantermspitheNow cbacbacba VwVhwVDw ρµπρπρπ === ( )( ) ( ) ( ) ρ µ π ρµπ ρµπ π Vw Vw c MLLTLTMLTLM Vw cba cba = = =−=−= = ++−= += = = −−− −−−− 3 111 3 333 3 333 3 3331311000 333 3 3 -1cand1b1,aTherefore, b--10:TFor 3c-ba10:LFor 10:MFor :For 25
  • 26. BUCKINGHAM’S Π-THEOREM: ( ) ( )       = = = − − ρ µ φ ρ ππππφπ πππππφ wVh w Vw mn mn , D ,...,,, 0,...,,,, formin thedrepresente becananalysisldimensionaofresultseFinally th 22 4321 4321 26
  • 29.
  • 30.
  • 32. For more worked problems refer to Civil Engineering Hydraulics by Nalluri and Featherstone (Worked problems 9.1 to 9.11)
  • 33. SIMILITUDE AND MODEL ANALYSIS Similitude is a concept used in testing of Engineering Models. Usually, it is impossible to obtain a pure theoretical solution of hydraulic phenomenon. Therefore, experimental investigations are often performed on small scale models, called model analysis. A few examples, where models may be used are ships in towing basins, air planes in wind tunnel, hydraulic turbines, centrifugal pumps, spillways of dams, river channels etc and to study such phenomenon as the action of waves and tides on beaches, soil erosion, and transportation of sediment etc. 33
  • 34. MODEL ANALYSIS Model: is a small scale replica of the actual structure Prototype: the actual structure or machine Prototype Model Lp3 Lp1 Lp2 Fp1 Fp3 Fp2 Lm3 Lm1 Lm2 Fm1 Fm3 Fm2 34 Note: It is not necessary that the models should be smaller that the prototype, they may be larger than prototype
  • 35. MODEL ANALYSIS Model Analysis is actually an experimental method of finding solutions of complex flow problems The followings are the advantages of the model analysis • Using dimensional analysis, a relationship between the variables influencing a flow problem is obtained which help in conducting tests • The performance of the hydraulic structure can be predicted in advance from its model • The merits of alternative design can be predicted with the help of model analysis to adopt most economical, and safe design Note: Test performed on models can be utilized for obtaining, in advance, useful information about the performance of the prototype only if a complete similarity exits between the model and the prototype 35
  • 36. SIMILITUDE-TYPE OF SIMILARITIES Similitude: is defined as similarity between the model and prototype in every respect, which mean model and prototype have similar properties or model and prototype are completely similar. Three types of similarities must exist between model and prototype. • Geometric Similarity • Kinematic Similarity • Dynamic Similarity 36
  • 37. SIMILITUDE-TYPE OF SIMILARITIES Geometric Similarity: is the similarity of shape. It is said to exist between model and prototype if ratio of all the corresponding linear dimensions in the model and prototype are equal. e.g. p p p r m m m L B D L L B D = = = Where: Lp, Bp and Dp are Length, Breadth, and diameter of prototype and Lm, Bm, Dm are Length, Breadth, and diameter of model. Lr= Scale ratio Note: Models are generally prepared with same scale ratios in every direction. Such models are called true models. However, sometimes it is not possible to do so and different convenient scales are used in different directions. Thus, such models are called distorted model 37
  • 38. SIMILITUDE-TYPE OF SIMILARITIES Kinematic Similarity: is the similarity of motion. It is said to exist between model and prototype if ratio of velocities and acceleration at the corresponding points in the model and prototype are equal. e.g. 1 2 1 2 1 2 1 2 ; p p p p r r m m m m V V a a V a V V a a = = = = Where: Vp1& Vp2 and ap1 & ap2 are velocity and accelerations at point 1 & 2 in prototype and Vm1& Vm2 and am1 & am2 are velocity and accelerations at point 1 & 2 in model. Vr and ar are the velocity ratio and acceleration ratio Note: Since velocity and acceleration are vector quantities, hence not only the ratio of magnitude of velocity and acceleration at the corresponding points in model and prototype should be same; but the direction of velocity and acceleration at the corresponding points in model and prototype should also be parallel. 38
  • 39. SIMILITUDE-TYPE OF SIMILARITIES Dynamic Similarity: is the similarity of forces. It is said to exist between model and prototype if ratio of forces at the corresponding points in the model and prototype are equal. e.g. ( ) ( ) ( ) ( ) ( ) ( ) gi vp p p r i v gm m m FF F F F F F = = = Where: (Fi)p, (Fv)p and (Fg)p are inertia, viscous and gravitational forces in prototype and (Fi)m, (Fv)m and (Fg)m are inertia, viscous and gravitational forces in model. Fr is the Force ratio Note: The direction of forces at the corresponding points in model and prototype should also be parallel. 39
  • 40. TYPES OF FORCES ENCOUNTERED IN FLUID PHENOMENON Inertia Force, Fi: It is equal to product of mass and acceleration in the flowing fluid. Viscous Force, Fv: It is equal to the product of shear stress due to viscosity and surface area of flow. Gravity Force, Fg: It is equal to product of mass and acceleration due to gravity. Pressure Force, Fp: it is equal to product of pressure intensity and cross-sectional area of flowing fluid. Surface Tension Force, Fs: It is equal to product of surface tension and length of surface of flowing fluid. Elastic Force, Fe: It is equal to product of elastic stress and area of flowing fluid. 40
  • 41. DIMENSIONLESS NUMBERS Dimensionless numbers are the numbers which are obtained by dividing the inertia force by viscous force or gravity force or pressure force or surface tension force or elastic force. As this is ratio of once force to other, it will be a dimensionless number. These are also called non- dimensional parameters. The following are most important dimensionless numbers. • Reynold’s Number • Froude’s Number • Euler’s Number • Weber’s Number • Mach’s Number 41
  • 42. DIMENSIONLESS NUMBERS Reynold’s Number, Re: It is the ratio of inertia force to the viscous force of flowing fluid. . . Re . . . . . . . . Velocity Volume Mass Velocity Fi Time Time Fv Shear Stress Area Shear Stress Area QV AV V AV V VL VL du VA A A dy L ρ ρ ρ ρ ρ τ µ υµ µ = = = = = = = = 2 . . . . . . . . Velocity Volume Mass Velocity Fi Time TimeFe Fg Mass Gavitational Acceleraion Mass Gavitational Acceleraion QV AV V V V Volume g AL g gL gL ρ ρ ρ ρ ρ = = = = = = = Froude’s Number, Fe: It is the ratio of inertia force to the gravity force of flowing fluid. 42
  • 43. DIMENSIONLESS NUMBERS Eulers’s Number, Eu: It is the ratio of inertia force to the pressure force of flowing fluid. 2 . . Pr . Pr . . . . . / / u Velocity Volume Mass Velocity Fi Time TimeE Fp essure Area essure Area QV AV V V V P A P A P P ρ ρ ρ ρ ρ = = = = = = = 2 2 . . . . . . . . . Velocity Volume Mass Velocity Fi Time TimeWe Fg Surface Tensionper Length Surface Tensionper Length QV AV V L V V L L L L ρ ρ ρ ρ σ σ σ σ ρ = = = = = = = Weber’s Number, We: It is the ratio of inertia force to the surface tension force of flowing fluid. 43
  • 44. DIMENSIONLESS NUMBERS Mach’s Number, M: It is the ratio of inertia force to the elastic force of flowing fluid. 2 2 2 . . . . . . . . / : / Velocity Volume Mass Velocity Fi Time TimeM Fe Elastic Stress Area Elastic Stress Area QV AV V L V V V K A K A KL CK Where C K ρ ρ ρ ρ ρ ρ = = = = = = = = = 44
  • 45. MODEL LAWS OR SIMILARITY LAWS We have already learned that for dynamic similarity, ratio of corresponding forces acting on prototype and model should be equal i.e. ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) g pv s e Ip p p p p p v s e Ig pm m m mm m F FF F F F F F F FF F = = = = = ( ) ( ) ( ) ( ) ( ) ( ) Thus dynamic similarity require that v g p s e I v g p s e Ip p Iv g p s e mm F F F F F F F F F F F F FF F F F F + + + + = + + + + = + + + + Force of inertial comes in play when sum of all other forces is not equal to zero which mean: In case all the forces are equally important, the above two equations cannot be satisfied for model analysis 45
  • 46. MODEL LAWS OR SIMILARITY LAWS However, for practical problems it is seen that one force is most significant compared to others and is called predominant force or most significant force. Thus, for practical problem only the most significant force is considered for dynamic similarity. Hence, models are designed on the basis of ratio of force, which is dominating in the phenomenon. Finally, the laws on which models are designed for dynamic similarity are called models laws or laws of similarity. The followings are these laws • Reynold’s Model Law • Froude’s Model Law • Euler’s Model Law • Weber’s Model Law • Mach’s Model Law 46
  • 47. REYNOLD’S MODEL LAW It is based on Reynold’s number and states that Reynold’s number for model must be equal to the Reynolds number for prototype. Reynolds Model Law is used in problems where viscous forces are dominant. These problems include: • Pipe Flow • Resistance experienced by submarines, airplanes, fully immersed bodies etc ( ) ( )Re Re 1 : , , m mP P P m P m P P r r rP m m m P P P r r r m m m V LV L or V L V L V L V L where V L V L υ υ υυ υ υ υ υ = = = =       = = = 47
  • 48. REYNOLD’S MODEL LAW The Various Ratios for Reynolds’s Law are obtained as r r r P P P r m m m r P P r m m 2 r r sin / Velocity Ratio: V = L T L /V L Time Ratio: Tr= T L /V V V / Vr Acceleration Ratio: a = V / Tr Discharge Ratio: Q Force Ratio: F = P m mP P m P m P m P P r r m m VL VL ce and LV V L a T a T A V L V A V m υ µ ρ υ υ υ υ υ     = =        = = = = = = = = 2 2 2 2 2 2 3 r r rPower Ratio: P =F .V = r r r r r r r r r r r r r r r r r r r a Q V L V V L V L V V L V ρ ρ ρ ρ ρ = = = = 48
  • 49. REYNOLD’S MODEL LAW Q. A pipe of diameter 1.5 m is required to transport an oil of specific gravity 0.90 and viscosity 3x10-2 poise at the rate of 3000litre/s. Tests were conducted on a 15 cm diameter pipe using water at 20oC. Find the velocity and rate of flow in the model. p p p p pm m m m m 2 2 p 2 For pipe flow, According to Reynolds' Model Law V D DV D D 900 1.5 1 10 3.0 1000 0.15 3 10 3.0 Since V / 4(1.5) 1.697 / 3.0 5.091 / 5. m m m p p p m p p p m p m m m V V V V Q A m s V V m s and Q V A ρ ρ µρ µ µ ρ µ π − − = ⇒ = × × = = × × = = = ∴ = = = = 2 3 091 / 4(0.15) 0.0899 /m s π× = Solution: Prototype Data: Diameter, Dp= 1.5m Viscosity of fluid, µp= 3x10-2 poise Discharge, Qp =3000litre/sec Sp. Gr., Sp=0.9 Density of oil=ρp=0.9x1000 =900kg/m3 Model Data: Diameter, Dm=15cm =0.15 m Viscosity of water, µm =1x10-2 poise Density of water, ρm=1000kg/m3 Velocity of flow Vm=? Discharge Qm=? 49
  • 50. REYNOLD’S MODEL LAW Q. A ship 300m long moves in sea water, whose density is 1030 kg/m3. A 1:100 model of this ship is to be tested in a wind tunnel. The velocity of air in the wind tunnel around the model is 30m/s and the resistance of the model is 60N. Determine the velocity of ship in sea water and also the resistance of ship in sea water. The density of air is given as 1.24kg/m3. Take the kinematic viscosity of air and sea water as 0.012 stokes and 0.018 stokes respectively. Solution: For Prototype Length, Lp= 300m Fluid = sea water Density of sea water, ρp= 1030 kg/m3 Kinematic Viscosity, νp=0.018 stokes =0.018x10-4 m2/s Let Velocity of ship, Vp Resistance, Fp For Model Scale ratio = Lp/Lm=100 Length, Lm= Lp/100 = 3m Fluid = air Density of air, ρm= 1.24 kg/m3 Kinematic Viscosity, νm=0.012 stokes =0.012x10-4 m2/s Velocity of ship, Vm=30 m/s Resistance, Fm = 60 N 50
  • 51. ( ) ( ) 4 4 2 2 2 2 2 2 2 2 0.012 10 3 30 0.2 / 0.018 10 300 Resistance= Mass Acceleration= L V L V 1030 300 0.2 369.17 1.24 3 30L V 369.17 60 22150.2 p m p m p m m p p p m m p LVL VL V V L Vp m s Since F Thus F F N υ υ υ υ ρ ρ ρ − −     = ⇒ =        × = = × ×     = = =        = × = REYNOLD’S MODEL LAW For dynamic similarity between model and prototype, the Reynolds number for both of them should be equal. 51 0.018 0.012
  • 52. FROUDE’S MODEL LAW It is based on Froude’s number and states that Froude’s number for model must be equal to the Froude’s number for prototype. Froude’s Model Law is used in problems where gravity forces is only dominant to control flow in addition to inertia force. These problems include: • Free surface flows such as flow over spillways, weirs, sluices, channels etc. • Flow of jet from orifice or nozzle • Waves on surface of fluid • Motion of fluids with different viscosities over one another ( ) ( )e e / 1; : , m mP P P m P P m m P m P P P r r r r m mP m m V VV V F F or or g L g L L L V V L V L where V L V LL V L = = = = = = =       52
  • 53. FROUDE’S MODEL LAW The Various Ratios for Reynolds’s Law are obtained as; r P P P r m m m P P r m m 2 2 5/ 2 r sin Velocity Ratio: V T L /V L Time Ratio: Tr= T L /V V / Vr Acceleration Ratio: a = 1 V / Tr Discharge Ratio: Q Force Ratio: Fr= mP P m pP r m m r r rP m r P P r r r r r m m r r VV ce L L LV L V L L L La T a T L A V L V L L L A V m a = = = = = = = = = = = = = = = = ( ) 2 2 2 2 3 3 2 2 2 3 2 7/ 2 Power Ratio: Pr=Fr.Vr= r r r r r r r r r r r r r r r r r r r r r r r r r r r Q V L V V L V L L L L V V L V L L L ρ ρ ρ ρ ρ ρ ρ ρ ρ = = = = = = = 53
  • 54. FROUDE’S MODEL LAW Q 1. In the model test of a spillway the discharge and velocity of flow over the model were 2 m3/s and 1.5 m/s respectively. Calculate the velocity and discharge over the prototype which is 36 times the model size. ( ) ( ) ( ) 2.5 2.5p m 2.5 3 For Discharge Q 36 Q 36 2 15552 /sec r p L Q m = = = × = p m For Dynamic Similarity, Froude Model Law is used V 36 6 V 6 1.5 9 /sec r p L V m = = = = × = Solution: Given that For Model Discharge over model, Qm=2 m3/sec Velocity over model, Vm = 1.5 m/sec Linear Scale ratio, Lr =36 For Prototype Discharge over prototype, Qp =? Velocity over prototype Vp=? 54
  • 55. FROUDE’S MODEL LAW Q 2. The characteristics of the spillway are to be studied by means of a geometrically similar model constructed to a scale of 1:10. (i) If 28.3 cumecs, is the maximum rate of flow in prototype, what will be the corresponding flow in model? (i) If 2.4m/s, 50mm and 3.5 Nm are values of velocity at a point on the spillway, height of hydraulic jump and energy dissipated per second in model, what will be the corresponding velocity, height of hydraulic jump and energy dissipation per second in prototype? Solution: Given that For Model Discharge over model, Qm=? Velocity over model, Vm = 2.4 m/sec Height of hydraulic jump, Hm =50 mm Energy dissipation per second, Em =3.5 Nm Linear Scale ratio, Lr =10 For Prototype Discharge over model, Qp=28.3 m3/sec Velocity over model, Vp =? Height of hydraulic jump, Hp =? Energy dissipation per second, Ep =? 55
  • 56. FROUDE’S MODEL LAW p 2.5 2.5 m 2.5 3 p m For Discharge: Q 10 Q 28.3/10 0.0895 /sec For Velocity: V 10 V 2.4 10 7.589 /sec r m r p L Q m L V m = = = = = = = × = p m p 3.5 3.5 m 3.5 For Hydraulic Jump: H 10 H 50 10 500 For Energy Dissipation: E 10 E 3.5 10 11067.9 /sec r p r p L H mm L E Nm = = = × = = = = × = 56
  • 57. CLASSIFICATION OF MODELS Undistorted or True Models: are those which are geometrically similar to prototype or in other words if the scale ratio for linear dimensions of the model and its prototype is same, the models is called undistorted model. The behavior of prototype can be easily predicted from the results of undistorted or true model. Distorted Models: A model is said to be distorted if it is not geometrically similar to its prototype. For distorted models different scale ratios for linear dimension are used. For example, if for the river, both horizontal and vertical scale ratio are taken to be same, then depth of water in the model of river will be very very small which may not be measured accurately. The followings are the advantages of distorted models The vertical dimension of the model can be accurately measured The cost of the model can be reduced Turbulent flow in the model can be maintained Though there are some advantage of distorted models, however the results of such models cannot be directly transferred to prototype. 57
  • 58. CLASSIFICATION OF MODELS Scale Ratios for Distorted Models ( ) ( ) ( ) r r P P Let: L = Scale ratio for horizontal direction L =Scale ratio for vertical direction 2 Scale Ratio for Velocity: Vr=V / 2 Scale Ratio for area of flow: Ar=A / P P H m m P V m P m r V m P P m m m L B L B h h gh V L gh B h A B h = = = = = = ( ) ( ) ( ) ( ) ( ) ( ) ( ) 3/2 PScale Ratio for discharge: Qr=Q / V r rH V P P m r r r r rH V V H m m L L A V Q L L L L L A V = = = 58
  • 59. DISTORTED MODEL Q 1. The discharge through a weir is 1.5 m3/s. Find the discharge through the model of weir if the horizontal dimensions of the model=1/50 the horizontal dimension of prototype and vertical dimension of model =1/10 the vertical dimension of prototype. ( ) ( ) ( ) ( ) 3 p r r 3/2 P 3/2 Solution: Discharge of River= Q =1.5m /s Scale ratio for horizontal direction= L =50 Scale ratio for vertical direction= L =10 Since Scale Ratio for discharge: Qr=Q / / 50 10 V P H m P V m m r rH p m L L h h Q L L Q Q = = = ∴ = × 3 1581.14 1.5/1581.14 0.000948 /mQ m s = ⇒ = = 59
  • 60. DISTORTED MODEL Q 2. A river model is to be constructed to a vertical scale of 1:50 and a horizontal of 1:200. At the design flood discharge of 450m3/s, the average width and depth of flow are 60m and 4.2m respectively. Determine the corresponding discharge in model and check the Reynolds’ Number of the model flow. ( ) ( ) ( ) ( ) 3 r r 3/2 r P 3/ 2 arg 450 / 60 4.2 Horizontal scale ratio= L =200 Vertical scale ratio= L =50 Since Scale Ratio for discharge: Q =Q / / 200 50 7 V p p p P H m P V m m r rH p m Disch e of River Q m s Width B m and Depth y m B B y y Q L L Q Q = = = = = = = = = ∴ = × = 3 3 0710.7 450/1581.14 6.365 10 /mQ m s− ⇒ = = × 60 70710.7
  • 61. DISTORTED MODEL ( ) ( ) m VL Reynolds Number, Re = 4 / 60/ 200 0.3 / 4.2/50 0.084 0.3 0.084 0.0252 2 0.3 2 0.084 0.468 0.0252 0.05385 0.468 Kinematic Viscosity of w m m m m p r H m p r V m m m m m m m m L R Width B B L m Depth y y L m A B y m P B y m A R P υ       = = = = = = = = = = = × = = + = + × = = = = 6 2 6 ater = =1 10 /sec 4 4 0.253 0.05385 Re 54492.31 1 10 >2000 Flow is in turbulent range m m VR υ υ − − × × ×    = = =    ×    ∴ 61
  • 70. For Model • Pipe diameter=3 in • Fluid=water • Viscosity=1.21x10-5 ft2/s For Prototype • Pipe diameter= 3ft • Liquid=SAE30 • viscosity=4.5x10-3 ft2/s For Reynolds number similarity P1. SAE 30 oil at is pumped through a 3-ft-diameter pipeline at a rate of 6400 gallon/min. A model of this pipeline is to be designed using a 3-in.-diameter pipe and water at as the working fluid. To maintain Reynolds number similarity between these two systems, what fluid velocity will be required in the model? Pm VDVD       =      νν ( ) sftAQVp sftgallonQp pp /02.234//26.14/ /26.14min/6400 2 3 =×== =×= π p m p p m m V D D V               = ν ν sftVm /104.6 2− ×= 70
  • 71. For Model For Prototype P2. Glycerin at 20oC flows with a velocity of 4 m/s through a 30-mm-diameter tube. A model of this system is to be developed using standard air as the model fluid. The air velocity is to be 2 m/s. What tube diameter is required for the model if dynamic similarity is to be maintained between model and prototype? Pm VDVD       =      νν p m p p m m D V V D               = ν ν mDm 3 10736.0 − ×= 71
  • 72. For Model • Fluid: water • Viscosity@20oC =1.004x10-6 m2/s • Vm=? For Prototype • Fluid: Sea water • Viscosity@16.5oC=1.17x10-6 m2/s • Vp=30 m/s P3. The drag characteristics of a torpedo are to be studied in a water tunnel using a 1 : 5 scale model. The tunnel operates with freshwater at 20oc , whereas the prototype torpedo is to be used in seawater at 15.6oc. To correctly simulate the behaviour of the prototype moving with a velocity of 30 m/s, what velocity is required in the water tunnel? Pm VDVD       =      νν p m p p m m V D D V               = ν ν smVm /129= 72
  • 73. For Model • dm=0.1m • Vm=1.2m/s For Prototype dp=3m Vp=? For Froude No. Similarity P4. The design of a river model is to be based on Froude number similarity, and a river depth of 3 m is to correspond to a model depth of 100 mm. Under these conditions what is the prototype velocity corresponding to a model velocity of 1.2 ms? Pm gd V gd V         =         ( ) m pp gd V gdV         = smVp /11= 73
  • 74. For Model • lm=0.9m • Qm? For Prototype • lp= 65m • Qp=40m3/s For Froude number similarity P5. Water flows at a rate of 40 m3/s through the spillway of a dam which is 65 m wide. A model spillway, having a width of 0.9 m, is to be constructed and tested in the laboratory. What is the required flowrate in the model? Pm gd V gd V         =         smQ lQQ ll VA VA Q Q m rpm rr mm Pp m p /1002.9 / 34 5.2 2/12 − ×= = ==         =      m p m p gd gd V V ( )mpr ddl /= 74
  • 75.
  • 76. P12. The drag characteristics for a newly designed automobile having a maximum characteristic length of 20 ft are to be determined through a model study. The characteristics at both low speed (approximately 20 mph) and high speed (90 mph) are of interest. For a series of projected model tests, an unpressurized wind tunnel that will accommodate a model with a maximum characteristic length of 4 ft is to be used. Determine the range of air velocities that would be required for the wind tunnel if Reynolds number similarity is desired. Are the velocities suitable? Explain.? Pm VDVD       =      νν p m p p m m V D D V               = ν ν Since the wind tunnel is unpressurized, the air properties will be approximately the same for model and prototype ppp m p m VVV l l V 5 4 20 =      =      = At low speed At high speed ( ) mphVm 100205 == ( ) mphVm 450905 == At high velocity in wind tunnel, compressibility of the air would start to become an important factor, whereas compressibility is not important for the prototype. Thus velocity required for the model would not be suitable 76
  • 77. For more worked problems refer to Civil Engineering Hydraulics by Nalluri and Featherstone (Worked problems 9.1 to 9.11)