节点文献
Preface for machine learning and artificial intelligence in geotechnics: Opportunities and challenges
【作者】
潘秋景;
陈曦;
张晋彰;
李凤伟;
张东明;
唐冲;
【Author】
PAN Qiu-jing;CHEN Xi;ZHANG Jin-zhang;LI Feng-wei;ZHANG Dong-ming;TANG Chong;School of Civil Engineering, Central South University;Key Laboratory of Urban Underground Engineering of Ministry of Education,Beijing Jiaotong University;Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology;China Railway Construction Corporation Ltd.;Department of Geotechnical Engineering, Tongji University;State Key Laboratory of Coastal and Offshore Engineering and Institute of Earthquake Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology;
【机构】
School of Civil Engineering, Central South University;
Key Laboratory of Urban Underground Engineering of Ministry of Education,Beijing Jiaotong University;
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology;
China Railway Construction Corporation Ltd.;
Department of Geotechnical Engineering, Tongji University;
State Key Laboratory of Coastal and Offshore Engineering and Institute of Earthquake Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology;
【摘要】 <正>The rapid evolution of the digital economy has brought significant opportunities and challenges to the field of geotechnical and underground engineering. As the scale of these projects continues to grow, their planning, design, construction, and maintenance generate extensive multi-source and heterogeneous data. These data include site investigation reports, design blueprints, and structural deformation monitoring records, all of which capture the intricate and diverse characteristics of geotechnical systems.更多还原
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【文献出处】
Journal of Central South University
,中南大学学报(英文版)
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编辑部邮箱
,2024年11期
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【分类号】TP18;TU4
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【下载频次】3