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Cost effective and efficient
mechanized techniques for
rectification of pavement
defects.
Marthota Ashok Kumar
2020CEC2790
Institute Guide: Dr. Deepak Kumar (ITMEC)
Literature
review on
different
defects
observed in
Flexible and
Rigid
pavements
Alligator Cracking
Block cracking
Longitudinal (Linear) Cracking
Transverse Cracking
Edge Cracks
Joint Reflection Cracks
Slippage Cracks
Potholes
Depressions (bird baths)
Rutting
Shoving
Upheaval
Oil Spots
Severity
levels
Low level of intensity (L): fine, longitudinal hairline
cracks running parallel to each other with one or only a
few interconnecting cracks. The cracks are not spalled.
(Average width less than 0.25 inch)
Average level of intensity (M): further development of
light alligator cracks into a pattern or network of cracks
that may be lightly spalled. (Average width 0.25 – 0.75
inch)
Higher level of intensity (H): network or pattern cracking
has progressed so that the pieces are well defined and
spalled at the edges. Some of the pieces may rock under
traffic .Potholes of all sizes are recorded as high severity
alligator cracking. (Average width more than 0.75 inch)
Types of
Repair
Options
• Slurry Seal
• Depth Patch
• Overlay
• Reconstruction
• Crack Seal
• Recycle Surface
• Thin Overlay
• Milling and Repave
• Base repair and repave
Detection and Monitoring of Bottom-Up
Cracks in Road Pavement Using a
Machine-Learning Approach
• The method considers the road pavement as
a filter of the acoustic and seismic waves.
• These latter are generated by a mechanical
source (i.e., the vehicular trac), travel into the
medium (i.e., the road pavement), and finally
are detected by a receiver (i.e., a microphone
isolated from the airborne noise, attached on
the road surface in a nondestructive way,
connected to an external soundcard, in turn
connected to a laptop running the MATLAB
code used to record sounds).
• Consequently, the related data set consists of
the acoustic responses (ARs) of the road
pavements to the loads induced by the
vehicles.
Road repair
conditions
Loading
conditions &
effect of
environment.
Driving force
for the
cracks.
• Airport runways - impact
• National Highways - cyclic
• Bridges
• Service Roads
• Racetracks
• Earthquake prone areas
• Volcanos erupted areas
Objectives
• Odd Semester: Failure Data Collection with respect to loading conditions and crack type
on the Pavements. Data collection regarding repair options and cost effectiveness.
• Even Semester: Studying the effectiveness and optimization of rectification techniques
used and the cost effectiveness of Pavements.
• A few case scenarios will be analyzed with the help of guide from the L&T.
Thank You

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Project PPT Rev2.pptx

  • 1. Cost effective and efficient mechanized techniques for rectification of pavement defects. Marthota Ashok Kumar 2020CEC2790 Institute Guide: Dr. Deepak Kumar (ITMEC)
  • 2.
  • 3. Literature review on different defects observed in Flexible and Rigid pavements Alligator Cracking Block cracking Longitudinal (Linear) Cracking Transverse Cracking Edge Cracks Joint Reflection Cracks Slippage Cracks Potholes Depressions (bird baths) Rutting Shoving Upheaval Oil Spots
  • 4. Severity levels Low level of intensity (L): fine, longitudinal hairline cracks running parallel to each other with one or only a few interconnecting cracks. The cracks are not spalled. (Average width less than 0.25 inch) Average level of intensity (M): further development of light alligator cracks into a pattern or network of cracks that may be lightly spalled. (Average width 0.25 – 0.75 inch) Higher level of intensity (H): network or pattern cracking has progressed so that the pieces are well defined and spalled at the edges. Some of the pieces may rock under traffic .Potholes of all sizes are recorded as high severity alligator cracking. (Average width more than 0.75 inch)
  • 5. Types of Repair Options • Slurry Seal • Depth Patch • Overlay • Reconstruction • Crack Seal • Recycle Surface • Thin Overlay • Milling and Repave • Base repair and repave
  • 6. Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach • The method considers the road pavement as a filter of the acoustic and seismic waves. • These latter are generated by a mechanical source (i.e., the vehicular trac), travel into the medium (i.e., the road pavement), and finally are detected by a receiver (i.e., a microphone isolated from the airborne noise, attached on the road surface in a nondestructive way, connected to an external soundcard, in turn connected to a laptop running the MATLAB code used to record sounds). • Consequently, the related data set consists of the acoustic responses (ARs) of the road pavements to the loads induced by the vehicles.
  • 7. Road repair conditions Loading conditions & effect of environment. Driving force for the cracks. • Airport runways - impact • National Highways - cyclic • Bridges • Service Roads • Racetracks • Earthquake prone areas • Volcanos erupted areas
  • 8. Objectives • Odd Semester: Failure Data Collection with respect to loading conditions and crack type on the Pavements. Data collection regarding repair options and cost effectiveness. • Even Semester: Studying the effectiveness and optimization of rectification techniques used and the cost effectiveness of Pavements. • A few case scenarios will be analyzed with the help of guide from the L&T.