Artificial Intelligence in Civil Engineering
Mrs. Kashmire M.R.1, Mrs.Pinjarkar S.S2, Mr. Atharva Awhale3,
Mr. Kunal Awhale4, Mr. Akshay Dhumal5
HOD of Civil Department1
Lecturer, Department of Civil Engineering2
Student of Civil Engineering Department3, 4, 5 & 6
Bhivrabai Sawant Polytechnic, Wagholi, Pune, India.
atharvaawhale8545@gmail.com.
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Abstract - Artificial Intelligence (AI) is increasingly becoming a transformative force in the field of civil engineering, revolutionizing traditional practices and enhancing the efficiency and effectiveness of various processes. This abstract provides a concise overview of the key aspects and applications of AI in civil engineering, encompassing areas such as Building Information Modeling (BIM), Structural Health Monitoring (SHM), Traffic Management, Construction Project Management, Geotechnical Engineering, and Urban Planning.
In the realm of BIM, AI is leveraged to streamline project workflows, enhance collaboration, and optimize decision-making processes. The integration of machine learning algorithms and data analytics in BIM facilitates improved project visualization, cost estimation, and risk management.
Structural Health Monitoring benefits significantly from AI techniques, enabling real-time analysis of structural data for damage detection, predictive maintenance, and overall safety enhancement. Machine learning models play a pivotal role in interpreting complex structural behavior, leading to more accurate assessments and timely interventions.
Geotechnical Engineering benefits from AI applications in data analysis, slope stability prediction, and soil classification. Machine learning algorithms contribute to more precise geotechnical assessments, reducing uncertainties in construction projects.
Key Words: Artificial Intelligence (AI), Machine Learning(ML), Neural Networks, Data Analytics, Predictive Modeling, Construction Automation, Expert Systems, Image Recognition
