A digital twin-driven deformation monitoring system for deep foundation pit excavation

被引:0
|
作者
Chen, K. [1 ]
Liu, Y. [1 ]
Hu, R. [1 ]
Fang, W. [2 ]
机构
[1] Huazhong University of Science and Technology, China
[2] Technical University of Berlin, Germany
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Information management - Metadata - Network security - Risk management - Tunneling (excavation) - Underground buildings
引用
收藏
页码:144 / 153
相关论文
共 50 条
  • [41] Calculation of foundation pit deformation caused by deep excavation considering influence of loading and unloading
    Huang Ming
    Liu Xing-rong
    Zhang Nai-yang
    Shen Qi-wei
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2017, 24 (09) : 2164 - 2171
  • [42] Model test on rebound deformation in foundation pit excavation
    Li, Jian-Min
    Teng, Yan-Jing
    Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 2010, 32 (SUPPL. 2): : 81 - 84
  • [43] Effect of Excavation of Foundation Pit on Deformation of Surrounding Buildings
    Li, Changhong
    Luo, Pengfei
    Zhou, Xiaolong
    Wang, Hao
    Wei, Xiaoming
    ELECTRONIC JOURNAL OF GEOTECHNICAL ENGINEERING, 2016, 21 (09): : 2975 - 2984
  • [44] A Deep Lifelong Learning Method for Digital Twin-Driven Defect Recognition With Novel Classes
    Yiping, Gao
    Xinyu, Li
    Gao, Liang
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2021, 21 (03)
  • [45] Deformation monitoring and analysis of deep foundation pit of Xiaoshan rainbow Boulevard
    Zhang, Shimin
    Zhang, Shixia
    Wu, Fangqian
    Yuan, Tengkun
    Wen, Kaiming
    Journal of Chemical and Pharmaceutical Research, 2014, 6 (04) : 69 - 74
  • [46] Digital twin-driven CNC spindle performance assessment
    Ruijuan Xue
    Xiang Zhou
    Zuguang Huang
    Fengli Zhang
    Fei Tao
    Jinjiang Wang
    The International Journal of Advanced Manufacturing Technology, 2022, 119 : 1821 - 1833
  • [47] Digital twin-driven SDN for smart grid: A deep learning integrated blockchain for cybersecurity
    Kumar, Prabhat
    Kumar, Randhir
    Aljuhani, Ahamed
    Javeed, Danish
    Jolfaei, Alireza
    Islam, A. K. M. Najmul
    SOLAR ENERGY, 2023, 263
  • [48] Analysis on settlement monitoring of historical protective buildings adjacent to deep foundation pit excavation
    University of Shanghai for Science and Technology, Shanghai
    200093, China
    不详
    610059, China
    Tumu Gongcheng Xuebao, (137-142):
  • [49] Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction
    Lee, Dongmin
    Lee, SangHyun
    Masoud, Neda
    Krishnan, M. S.
    Li, Victor C.
    ADVANCED ENGINEERING INFORMATICS, 2022, 53
  • [50] Digital Twin-Driven Industrialization Development of Underwater Gliders
    Yang, Ming
    Wang, Yanhui
    Wang, Cheng
    Liang, Yan
    Yang, Shaoqiong
    Wang, Shuxin
    Wang, Lidong
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (09) : 9680 - 9690