This document discusses the use of artificial intelligence in civil engineering. It covers topics such as the development of AI, intelligent optimization methods, applications of AI like expert systems and construction planning, and future trends such as structural health monitoring and self-repairing materials. The document also discusses advantages like reducing risks and replacing tiresome tasks, and disadvantages such as costs and lack of human judgment. In conclusion, the document states that AI plays a major role in constructing and maintaining civil engineering projects by performing better than conventional methods.

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1. Introduction
2. Development of AI
3. Intelligent optimization methods in civil engineering
4. Application of AI in civil engineering
5. Future trends
6. Advantages
7. Disadvantages
8. Conclusion
9. Reference

3. • Branch of computer science, involves- research, design and application of computer
science- developed in 1956
• Goal- how to imitate and execute some of the intelligent functions of human brain
• Interaction of several kinds of disciplines such as
 Computer science
 Cybernetics
 Information theory
 Psychology
 Neurophysiology
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4. • Main theories and methods -
 Symbolism
 Behaviourism
 Connectionism approach
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5. • Developed by John McCarthy
• Describes the process of human thinking as a mechanical manipulation of symbols
• Main constituents of soft computing -
 Neural networks
 Evolutionary algorithms
 Probability reasoning
 Fuzzy-logic
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6. • Application of AI in civil engineering include the use of ANN in
 Designing
 Planning
 Construction and management of infrastructures
• Helps to predict tender bids, construction cost and construction budget
performance
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7. • Applied in
 Expert system
 Knowledge base system
 Intelligent database system
 Intelligent robot system
• Expert system- “the knowledge management and decision-making technology of the
21st century”
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8. • Used in construction management, building materials, hydraulic optimization,
geotechnical and transportation engineering
• Construction planners generate and evaluate optimal/near-optimal construction
scheduling plans
• The smart system refers to a device which can sense changes in its environment
• Development of robots and automated system
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9. 1. Structural health monitoring
• Embedding sensors- monitor stress and damage can reduce maintenance cost and
increase lifespan
• Used in over 40 bridges worldwide
2. Self repair materials
• Embedding thin tubes containing uncured resin
• Due to damage these tubes break, exposing the resin which fills any damage and
sets
• It is important in inaccessible environments such as underwater or in space
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10. 3. Structural engineering
• Used to evaluate durability
• Smart materials or structures are restricted to sensing
• They adapt to their surrounding environment
• Monitor the integrity of bridges, dams, offshore oil drilling towers etc.
4. Waste management
• Challenging, expensive and time consuming task
• Smart material helps to automate the process
• Even it shows a role in food waste management
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11. 5. Concrete mix design
• Difficult and sensitive
• Based on the principle of workability of concrete, desired strength and durability of
concrete which in turn is governed by water cement ratio law
• Strength of concrete determined by the characteristics of mortar and coarse aggregate
6. Estimation
• Suited for developing decision aids with analogy based problem solving capabilities
7. Analogy based solution to mark-up estimation problem
• A methodology is presented and used to develop a practical model
• The model design, training, and testing are described along with the generalization
improvements
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12. • Decision is based on several decision
attributes
 Plant location
 Labour related
 Plant characteristics
 Project risks
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8. Neuromodex- Neural network system for modular construction decision making
Fig 1: Neural network system

13. • A computer system- provides the
selection of vertical formwork
system for a building site
• A statistical hypothesis test
demonstrates the system’s fault-
tolerant and generalization
properties
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Fig 2: Neuroform
9. Neuroform- Neural network system for vertical formwork selection

14. • Form of artificial intelligence that incorporates
uncertainty through probability theory and
conditional dependence
• Variables - conditional dependence
relationships
• First defining the variables in the domain and
the relationships between those variables
• Computer simulation - used to model the
construction operations
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10. Belief networks for construction performance diagnostics
Fig 3: Belief network

15. 11. Building KBES for diagnosing PC pile with ANN
• Diagnosis of damage of prestressed concrete piles during driving - important
problem in foundation engineering
• ANN can work sufficiently as a knowledge acquisition tool for the diagnosis
problem
• Reasoning strategy that hybridizes forward-and backward-reasoning schemes is
proposed
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12.Construction robot fleet management system
Fig 6: Construction robot fleet management

17. • Initial design process - extremely
difficult to computerize
• Development of a network for the
initial design of reinforced-concrete
rectangular single-span beams has
been reported
• The network predicts a good initial
design for a given set of input
parameters
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13. Modelling initial design process using ANN
Fig 4: Initial design process

18. • Represent knowledge about how to generate plans
• Researchers Kartam and Levitt, have chosen the system for
interactive planning and execution (SIPE)
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14. Intelligent planning of construction project

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Fig 5: Intelligent planning

20. 15. Bridge planning using GIS and Expert system approach20
• GIS and expert systems -
two methodologies in
comparing candidate site
and candidate type
• Computation power and
quantitative comparison
can be done faster
Fig 7: Bridge planning using GIS and expert system
approach

21. 16. ANN approach for pavement maintenance
• Selecting an appropriate maintenance and repair action for a defected pavement
• Done by collecting condition data, analysing and selecting appropriate
maintenance and repair actions
17. ANN for EHS
• Robot carrying out tasks in construction
• Accidents would potentially be zero because of the lack of human errors
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22. 18. Tidal forecasting
• Important factor in determining constructions or activity in maritime areas
• Kalman(1960) proposed the Kalman filtering method - calculate the harmonic
parameters
19. Earthquake induced liquefaction
• Damage of civil structures occur in two modes
 Structural failure
 Foundation failure
• Estimation of the earthquake induced liquefaction potential - essential for civil
engineers in the design procedure
• Helps in the design of structures to safeguard against earthquakes
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23. 1. Fuzzy processing, integrated intelligent technology and intelligent emotion
technology in civil engineering
2. Hybrid intelligence system and a large civil expert system approach
3. Used in many areas of civil engineering
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24. 1. Reduce the risk of accidents in the workplace
2. Not affected by hostile environments
3. Can replace tiresome tasks
4. Don’t need break at work time
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25. 1. Can be very expensive
2. Not able to work outside of what they are programmed to do
3. Unemployment may rise
4. Robots do not get better with experience…yet
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26. • Applied to many civil engineering areas
• Plays a major role in constructing and maintaining different aspects of civil
engineering problems
• Perform better than the conventional methods
• Help inexperienced users solve engineering problems and experienced users to
improve the work efficiency
• Powerful and practical tool for solving many problems in civil engineering field
• Instruments based on the algorithms and database to reduce the efforts and cost
of construction and management
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“Artificial Intelligence as a Tool in Civil Engineering- A Review”, IOSR Journal of Computer
Engineering
2. Artificial intelligence, 2012, http://en.wikipedia.org/wiki/Artificial_intelligence
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Mathematical Problems in Engineering”, Volume 2012, Article ID 145974, 22 pages
http://dx.doi.org/10.1155/2012/145974
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6. http://ai.business/2016/11/23/10-use-cases-of-ai-in-the-field-of-construction
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