Artificial intelligence in civil engineering technicial seminar ppt
1. A Technical Seminar On The Topic
ARTIFICIAL INTELLIGENCE IN CIVIL
ENGINEERING
UNDER THE GUIDENCE OF
PRESENTED BY
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2. CONTENTS
1. Introduction
2. History of AI
3. Importance of AI in civil engineering
4. Application of AI in civil engineering
5. Future trends
6. Advantages
7. Disadvantages
8. Conclusion
9. Reference
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3. INTRODUCTION
• Artificial intelligence is a branch of computer science, involved in the research, design,
and application of intelligent computer.
•The field of artificial intelligence, or AI, attempts to understand intelligent entities as
well as construct them to make the operation reasonably simple and easy, correct and
precise.
•AI deals with machines that perform functions, which require intelligence.
•Using the concept of the artificial intelligence makes the field of civil engineering more
accurate, precise and efficient especially in the fields of smart materials and many more
•AI helps in automated data collection and data analysis techniques to improve several
aspects of construction engineering and management for productivity assessment, safety
management, idle time reduction, prediction, risk analysis, decision-making and
optimizing construction costs
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4. HISTORY OF AI
The term Artificial Intelligence was coined by John McCarthy
Alan Turings Turing machine was the first know machine that used AI
They failed to recognize the difficulty of some of the remaining tasks during 1970’s
In the early 1980s, AI research was revived and slowly started growing fron there and By 2000, AI solutions
were being widely used
Japan was highly invested in AI, which Inspied other countries like US and UK to Invest
In a 2017 survey, one in five companies reported they had "incorporated AI in some offerings or processes"
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5. IMPORTANCE OF AI IN CIVIL ENGINEERING
•The traditional methods used for modeling and optimizing complex structural systems
consume considerable time and computing resources. But AI-based algorithms provide better
alternatives to solve problems in civil engineering.
•AI algorithms have the potential to help the construction sector overcome challenges and
improve overall productivity and efficiency.
•The data required to develop AI algorithms are obtained using programmed machines
like drones, smart cameras, smart sensors, etc. The data is analyzed to determine all possible
construction aberrations and anomalies.
• AI algorithms also use trial and error methods to identify the best process that needs to be
followed depending on the site Using the concept of the artificial intelligence makes the field
of civil engineering more accurate, precise and efficient especially in the fields of smart
materials and many more
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6. APPLICATION OF AI IN CIVIL ENGINEERING
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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7. 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.
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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
9. 5. Concrete mix design
• 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
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6. Estimation
• Suited for developing decision aids with analogy based
problem solving capabilities
12. 8. Intelligent planning of construction project
• 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. 9. Bridge planning using GIS and Expert system approach
• GIS and expert systems -
two methodologies in
comparing candidate site
and candidate type
• Computation power and
quantitative comparison
can be done faster
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Bridge planning using GIS and expert system
approach
15. 10. AI 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
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11. ANN for EHS
• Robot carrying out tasks in construction
• Accidents would potentially be zero because of the lack of
human errors
17. 12. Tidal forecasting
• Important factor in determining constructions or activity in
maritime areas
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13. Predict and Protect against natural disasters
• Can predict future disasters and also protect and minimize the damage
• Helps in the design of structures to safeguard against earthquakes and other natural
disasters
19. FUTURETRENDS
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. would besed in many areas of civil
engineering
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20. ADVANTAGES
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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21. DISADVANTAGES
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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22. CONCLUSION
1. Applied to many civil engineering areas
2. Plays a major role in constructing and maintaining different aspects of civil engineering problems
3. Perform better than the conventional methods
4. Help inexperienced users solve engineering problems and experienced users to improve the work
efficiency
5. Powerful and practical tool for solving many problems in civil engineering field
6. Instruments based on the algorithms and database to reduce the efforts and cost of construction and
management
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23. REFERENCE
1. Akshata Patil, Lata Patted, Mahesh Tenagi, Vaishnavi Jahagirdar, Madhuri Patil and Rahul
Gautam(2017), “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
3. Pengzhen Lu, Shengyong Chen and Yujun Zheng (2012), “Artificial intelligence in Civil
engineering, Mathematical Problems in Engineering”, Volume 2012, Article ID 145974, 22
pages http://dx.doi.org/10.1155/2012/145974
4. P. Krcaronemen and Z. Kouba, “Ontology-driven information system design,” IEEE
Transactions on Systems, Man and Cybernetics C, vol. 42, no. 3, 2012
5. R. Bendaña, A. Del Caño, and M. P. De La Cruz, “Contractor selection: Fuzzy-control
approach,” Canadian Journal of Civil Engineering, vol. 35, no. 5, pp. 473–486, 2008
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24. 6. http://ai.business/2016/11/23/10-use-cases-of-ai-in-the-field-of-construction
7. Jeng, D. S.; Cha, D. H.; Blumenstein, M. “Application of Neural Networks in Civil Engineering
Problems.” // Proceedings of the International Conference on Advances in the Internet,
Processing, Systems and Interdisciplinary Research, 2003
8. A. Khalafallah and M. Abdel-Raheem, “Electimize: new evolutionary algorithm for
optimization with application in construction engineering,” Journal of Computing in Civil
Engineering, vol. 25, no. 3, pp. 192–201, 2011
9. M. Rezania, A. A. Javadi, and O. Giustolisi, “An evolutionary-based data mining technique for
assessment of civil engineering systems,” Engineering Computations (Swansea, Wales), vol.
25, no. 6, pp. 500–517, 2008
10. S. Sharma and A. Das, “Backcalculation of pavement layer moduli from falling weight
deflectometer data using an artificial neural network,” Canadian Journal of Civil Engineering,
vol. 35, no. 1, pp. 57–66, 2008
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