Advances in Civil and Structural Engineering: Smart Technologies and Digital Construction / Volume 2
Proceedings of the 2nd International Conference on Civil Engineering and Smart Construction (ICCESC 2025)
Buch in deiner Nähe kaufen
Beschreibung
This book provides the core technical path of smart construction in civil engineering, solving the challenges of design optimization, safety monitoring and long-term operation, and maintenance in super-high-rise buildings and deep space engineering. Structural algorithms based on artificial intelligence improve seismic performance, UAV systems achieve accurate identification of millimeter-level diseases, and digital twin models actively extend the service cycle of facilities, delivering directly deployable practical tools for engineers.
The current urbanization process and aging infrastructure have exacerbated the efficiency and safety bottlenecks of traditional engineering methods. This book explains how intelligent technology reconstructs industry practice: AI design tools adapt to complex geological conditions, automated testing equipment replaces high-risk manual inspections, and predictive maintenance frameworks improve structural life by more than 30%. The deep integration of Building Information Modeling (BIM) and geographic data further promotes the transformation of sustainable construction from theory to standardization.
The content of this book comes from the exploration of engineering practice, helping civil engineers, researchers, and construction managers improve the application ability of intelligent construction technology. The scheme ideas and implementation methods provided in the book contribute practical reference for building an efficient, safe, and sustainable infrastructure system.
This book provides the core technical path of smart construction in civil engineering, solving the challenges of design optimization, safety monitoring and long-term operation, and maintenance in super-high-rise buildings and deep space engineering. Structural algorithms based on artificial intelligence improve seismic performance, UAV systems achieve accurate identification of millimeter-level diseases, and digital twin models actively extend the service cycle of facilities, delivering directly deployable practical tools for engineers.
The current urbanization process and aging infrastructure have exacerbated the efficiency and safety bottlenecks of traditional engineering methods. This book explains how intelligent technology reconstructs industry practice: AI design tools adapt to complex geological conditions, automated testing equipment replaces high-risk manual inspections, and predictive maintenance frameworks improve structural life by more than 30%. The deep integration of Building Information Modeling (BIM) and geographic data further promotes the transformation of sustainable construction from theory to standardization.
The content of this book comes from the exploration of engineering practice, helping civil engineers, researchers, and construction managers improve the application ability of intelligent construction technology. The scheme ideas and implementation methods provided in the book contribute practical reference for building an efficient, safe, and sustainable infrastructure system.
Emphasizes AI, GIS, BIM, and digital twin applications in smart construction Covers intelligent monitoring, defect detection, and carbon footprint assessment Supports professionals and researchers applying smart technologies in sustainable infrastructure
Autor*in
Gao Ma
Themen in »Advances in Civil and Structural Engineering: Smart Technologies and Digital Construction / Volume 2«
Smart Construction Technologies AI and Machine Learning in Civil Engineering Building Information Modeling (BIM) and GIS Integration UAV-Based Monitoring and Inspection Intelligent Monitoring and Predictive Maintenance