artificialintelligenceincivilengineering-181022061712.pptx

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1. ARTIFICIAL INTELLIGENCE IN CIVIL ENGINEERING 1

2. CONTENTS 2 Introduction Development of AI Intelligent optimization methods in civil engineering Application of AI in civil engineering Future trends Advantages Disadvantages Conclusion Reference

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4. INTRODUCTION Branch of computer science, involves- research, design and application of computer science- developed in 1956 AI is revolutionizing civil engineering, from data processing to design optimization and risk assessment. Integration of AI with Building Information Modeling (BIM) promises enhanced project efficiency and innovation. AI’s influence extends beyond BIM, with drones and autonomous vehicles shaping the construction industry’s future. Goal- how to imitate and execute some of the intelligent functions of human brain Interaction of several kinds of disciplines such as Computer science Main theories and methods - Cybernetics Symbolism Information theory Behaviourism Psychology Connectionism approach Neurophysiology 4

5. DEVELOPMENT OF AI 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 5

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 6

7. INTELLIGENT OPTIMIZATION METHODS IN CIVIL ENGINEERING 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” 7

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14. Delay Predictions Traffic Flow Analysis Automatic Traffic Incident Detection Parking and Traffic Regulation Enforcement Automated License Plate Recognition Autonomous Vehicles Road Condition Monitoring Driver Monitoring

15. AI IN GEOTECHNICAL ENGINEERING 15 Geotechnical engineering involves study and use of earth materials such as soil, rock and intermediate geo-materials. Artificial intelligence (AI) methods have been developed and used by an increasing number of researchers in the field of geotechnical engineering. These methods have been considered successful due to their ability to predict complex nonlinear relationships.

16. AI IN ENVIRNOMENTAL ENGINEERING 16

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21. Decision is based on several decision attributes Plant location Labour related Plant characteristics Project risks 21 Neuromodex - Neural network system for modular construction decision making Fig 1: Neural network system

22. 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 22 Fig 2: Neuroform Neuroform - Neural network system for vertical formwork selection

23. 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 23 Belief networks for construction performance diagnostics Fig 3: Belief network

24. 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 24

25. 25 Construction robot fleet management system Fig 6: Construction robot fleet management

26. 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 26 Modelling initial design process using ANN Fig 4: Initial design process

27. Represent knowledge about how to generate plans Researchers Kartam and Levitt, have chosen the system for interactive planning and execution (SIPE) 27 Intelligent planning of construction project

28. 28 Fig 5: Intelligent planning

29. Bridge planning using GIS and Expert system approach 29 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

30. 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 ANN for EHS Robot carrying out tasks in construction Accidents would potentially be zero because of the lack of human errors 30

31. Tidal forecasting Important factor in determining constructions or activity in maritime areas Kalman(1960) proposed the Kalman filtering method - calculate the harmonic parameters 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 31

32. ADVANTAGES Reduce the risk of accidents in the workplace Not affected by hostile environments Can replace tiresome tasks Don’t need break at work time 32 DISADVANTAGES Can be very expensive Not able to work outside of what they are programmed to do Unemployment may rise Robots do not get better with experience…yet

33. CONCLUSION 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 33

34. 34 T HANK YOU