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Geotechnical engineering and intelligent disaster prediction = proceedings of 2024 International Conference on Geotechnics and Hydraulic Structure /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Geotechnical engineering and intelligent disaster prediction/ edited by Wei Gao, Danqing Song.
Reminder of title:	proceedings of 2024 International Conference on Geotechnics and Hydraulic Structure /
other author:	Gao, Wei.
corporate name:	International Conference on Geotechnics and Hydraulic Structure
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xii, 347 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Section One: Geotechnical Mechanics and Mechanical Theory -- a. Geotechnical Mechanics and Computational Optimization Methods -- b. Theoretical Mechanics and Geotechnical Load Theory -- Section Two: Research and Case Studies in Geotechnical Engineering -- a. Geotechnical Slope and Soil Mechanics Analysis -- b. Tunnel and Underground Engineering Construction -- c. Geotechnical Failure and Theory in Complex Environments -- d. Safety Management and Technological Applications in Geotechnical Engineering Construction -- e. Quality Control and Monitoring Techniques in Geotechnical Engineering Construction -- Section Three: Intelligent Disaster Prediction -- a. Application of Artificial Intelligence and Big Data Technologies in Geotechnical Engineering Prediction -- b. Monitoring and Early Warning of Geotechnical and Geological Disasters -- c. Visualization Display and Emergency Response Plan Optimization of Intelligent Geotechnical Disaster Prediction System -- d. Model Optimization and Algorithm Improvement in Geotechnical Disaster Prediction Using Artificial Intelligence.
Contained By:	Springer Nature eBook
Subject:	Geotechnical engineering - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-85787-4
ISBN:	9783031857874

Geotechnical engineering and intelligent disaster prediction = proceedings of 2024 International Conference on Geotechnics and Hydraulic Structure /
Geotechnical engineering and intelligent disaster predictionproceedings of 2024 International Conference on Geotechnics and Hydraulic Structure /[electronic resource] :edited by Wei Gao, Danqing Song. - Cham :Springer Nature Switzerland :2025. - xii, 347 p. :ill. (some col.), digital ;24 cm. - Sustainable civil infrastructures,2366-3413. - Sustainable civil infrastructures..

Section One: Geotechnical Mechanics and Mechanical Theory -- a. Geotechnical Mechanics and Computational Optimization Methods -- b. Theoretical Mechanics and Geotechnical Load Theory -- Section Two: Research and Case Studies in Geotechnical Engineering -- a. Geotechnical Slope and Soil Mechanics Analysis -- b. Tunnel and Underground Engineering Construction -- c. Geotechnical Failure and Theory in Complex Environments -- d. Safety Management and Technological Applications in Geotechnical Engineering Construction -- e. Quality Control and Monitoring Techniques in Geotechnical Engineering Construction -- Section Three: Intelligent Disaster Prediction -- a. Application of Artificial Intelligence and Big Data Technologies in Geotechnical Engineering Prediction -- b. Monitoring and Early Warning of Geotechnical and Geological Disasters -- c. Visualization Display and Emergency Response Plan Optimization of Intelligent Geotechnical Disaster Prediction System -- d. Model Optimization and Algorithm Improvement in Geotechnical Disaster Prediction Using Artificial Intelligence.

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.

ISBN: 9783031857874

Standard No.: 10.1007/978-3-031-85787-4doiSubjects--Topical Terms:

3295354
Geotechnical engineering
--Congresses.

LC Class. No.: TA703.5

Dewey Class. No.: 624.151

Geotechnical engineering and intelligent disaster prediction = proceedings of 2024 International Conference on Geotechnics and Hydraulic Structure /
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505 0 $a Section One: Geotechnical Mechanics and Mechanical Theory -- a. Geotechnical Mechanics and Computational Optimization Methods -- b. Theoretical Mechanics and Geotechnical Load Theory -- Section Two: Research and Case Studies in Geotechnical Engineering -- a. Geotechnical Slope and Soil Mechanics Analysis -- b. Tunnel and Underground Engineering Construction -- c. Geotechnical Failure and Theory in Complex Environments -- d. Safety Management and Technological Applications in Geotechnical Engineering Construction -- e. Quality Control and Monitoring Techniques in Geotechnical Engineering Construction -- Section Three: Intelligent Disaster Prediction -- a. Application of Artificial Intelligence and Big Data Technologies in Geotechnical Engineering Prediction -- b. Monitoring and Early Warning of Geotechnical and Geological Disasters -- c. Visualization Display and Emergency Response Plan Optimization of Intelligent Geotechnical Disaster Prediction System -- d. Model Optimization and Algorithm Improvement in Geotechnical Disaster Prediction Using Artificial Intelligence.
520 $a 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.
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