Preface for machine learning and artificial intelligence in geotechnics : Opportunities and challenges

作     者：PAN Qiu-jing CHEN Xi ZHANG Jin-zhang LI Feng-wei ZHANG Dong-ming TANG Chong 潘秋景;陈曦;张晋彰;李凤伟;张东明;唐冲

作者机构：School of Civil EngineeringCentral South UniversityChangsha 410075China Key Laboratory of Urban Underground Engineering of Ministry of EducationBeijing Jiaotong UniversityBeijing 100044China Department of Civil and Environmental EngineeringThe Hong Kong University of Science and TechnologyHong kong SAR 999077China China Railway Construction Corporation Ltd.Beijing 100855China Department of Geotechnical EngineeringTongji UniversityShanghai 200092China State Key Laboratory of Coastal and Offshore Engineering and Institute of Earthquake EngineeringFaculty of Infrastructure EngineeringDalian University of TechnologyDalian 116024China 

出 版 物：《Journal of Central South University》 (中南大学学报(英文版))

年 卷 期：2024年第31卷第11期

页      面：3819-3822页

核心收录：

学科分类：08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）] 

主　　题：deformation artificial underground 

摘      要：The rapid evolution of the digital economy has brought significant opportunities and challenges to the field of geotechnical and underground *** the scale of these projects continues to grow,their planning,design,construction,and maintenance generate extensive multi-source and heterogeneous *** data include site investigation reports,design blueprints,and structural deformation monitoring records,all of which capture the intricate and diverse characteristics of geotechnical ***,risks and hazards during the construction phase pose potential threats to engineering safety,enhancing the need for effective risk management strategies.