AI-Driven Smart Civil Engineering
Principles and Practices
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This book examines the transformative role of artificial intelligence in modern civil engineering, bridging traditional principles with emerging smart technologies. It explores how AI-driven methods such as predictive modeling, structural health monitoring, optimization algorithms, and digital twins are reshaping the design, construction, and maintenance of infrastructure. Emphasis is placed on integrating machine learning and data analytics into sustainable engineering practices, enhancing safety, efficiency, and resilience of civil systems. The book combines theoretical foundations with prac...
This book examines the transformative role of artificial intelligence in modern civil engineering, bridging traditional principles with emerging smart technologies. It explores how AI-driven methods such as predictive modeling, structural health monitoring, optimization algorithms, and digital twins are reshaping the design, construction, and maintenance of infrastructure. Emphasis is placed on integrating machine learning and data analytics into sustainable engineering practices, enhancing safety, efficiency, and resilience of civil systems. The book combines theoretical foundations with practical applications, offering engineers, researchers, and students a comprehensive guide to adopting intelligent tools for real-world projects. By presenting case studies and future directions, it highlights AI as a catalyst for innovation and a key driver in building smarter, more adaptive civil infrastructure.
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