地下空间（英文）2025，Vol.23Issue(4)：220-242,23.DOI:10.1016/j.undsp.2024.08.010
Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources
Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources
Hongwei Guo 1Chao Zhang 2Hongyuan Fang 2Timon Rabczuk 3Xiaoying Zhuang4
作者信息
- 1. Department of Geotechnical Engineering,College of Civil Engineering,Tongji University,Shanghai 200092,China||Key Laboratory of Urban Security and Disaster Engineering,Ministry of Education,Beijing University of Technology,Beijing 100124,China
- 2. School of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute,Zhengzhou University,Zhengzhou 450001,China||National Local Joint Engineering Laboratory of Major Infrastructure Testing and Rehabilitation Technology,Zhengzhou 450001,China||Collaborative Innovation Center for Disaster Prevention and Control of Underground Engineering Jointly Built by Provinces and Ministries,Zhengzhou 450001,China
- 3. Institute of Structural Mechanics,Bauhaus University Weimar,Weimar 99425,Germany
- 4. Department of Geotechnical Engineering,College of Civil Engineering,Tongji University,Shanghai 200092,China||Computational Science and Simulation Technology,Faculty of Mathematics and Physics,Leibniz University Hannover,Hannover 30167,Germany
- 折叠
摘要
关键词
Liquefaction/Prediction/Deep learning/Ensemble methods/Transfer learning/Feature-based/Instance-based/Source data/Target data/Deep autoencoder/Variational autoencoderKey words
Liquefaction/Prediction/Deep learning/Ensemble methods/Transfer learning/Feature-based/Instance-based/Source data/Target data/Deep autoencoder/Variational autoencoder引用本文复制引用
Hongwei Guo,Chao Zhang,Hongyuan Fang,Timon Rabczuk,Xiaoying Zhuang..Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources[J].地下空间（英文）,2025,23(4):220-242,23.
