Geotechnical Engineering and Intelligent Disaster Prediction: Proceedings of 2024 International Conference on Geotechnics and Hydraulic Structure (Sustainable Civil Infrastructures)
by: Wei Gao (Editor), Danqing Song (Editor)
Publisher: Springer
Publication Date: 2025-04-11
Language: English
Print Length: 360 pages
ISBN-10: 3031857860
ISBN-13: 9783031857867
Book Description
This book features selected proceedings from the “2024 International Conference on Geotechnics and Hydraulic Structure,” focusing on Geotechnical Engineering and Intelligent Disaster Prediction. It addresses the vital role of geotechnical engineering in underground structure safety and infrastructure stability. With the advancement of AI and interdisciplinary collaboration, the field has transitioned to electronic surveying and big data prediction for stress analysis and safety monitoring. The conference highlights stress analysis in geotechnical and underground engineering, and the application of AI in geotechnical predictions. The book includes case studies and research on soil mechanics, tunnel construction, and geotechnical failures, as well as AI’s role in disaster prediction and monitoring. It aims to be a comprehensive resource for engineers and scholars, offering insights and innovative solutions in geotechnical engineering.
Editorial Reviews
This book features selected proceedings from the “2024 International Conference on Geotechnics and Hydraulic Structure,” focusing on Geotechnical Engineering and Intelligent Disaster Prediction. It addresses the vital role of geotechnical engineering in underground structure safety and infrastructure stability. With the advancement of AI and interdisciplinary collaboration, the field has transitioned to electronic surveying and big data prediction for stress analysis and safety monitoring. The conference highlights stress analysis in geotechnical and underground engineering, and the application of AI in geotechnical predictions. The book includes case studies and research on soil mechanics, tunnel construction, and geotechnical failures, as well as AI’s role in disaster prediction and monitoring. It aims to be a comprehensive resource for engineers and scholars, offering insights and innovative solutions in geotechnical engineering.