Open Access
Issue
E3S Web of Conf.
Volume 490, 2024
5th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2023)
Article Number 03015
Number of page(s) 4
Section Ecological Environment Restoration and Pollution Control
DOI https://doi.org/10.1051/e3sconf/202449003015
Published online 14 February 2024
  1. Sousa R L, Einstein H H. Risk analysis during tunnel construction using Bayesian Networks: Porto Metro case study[J]. Tunnelling and Underground Space Technology, 2012, 27(1):86-100. [CrossRef] [Google Scholar]
  2. Ji říŠ ejnoha, Olga Š pa čkov á, DanielStraub.Probabilistic assessment of tunnel construction performance based on data[J].62-78,2013,37(Aug.):62-78. [Google Scholar]
  3. Wu Quanli, Wang Mengshu, Yin Minglun. Risk analysis of shield tunneling based on network analysis method [J]. Journal of Underground Space and Engineering, 2019,15 (06): 1881-1888. [Google Scholar]
  4. Yang Xiongfei. Safety Analysis of Shield Tunnels for Crossing Rivers [D]. Jinan University, 2012 [Google Scholar]
  5. Li Daohong, Chen Liguang, Yu Yilin, Zhao Yong, Zhang Hongliang. Selection Technology of Shield Tunnels for Composite Strata River Bottom Tunnels [J]. Construction Technology, 2018,47 (S1): 623-626 [Google Scholar]
  6. Lu Xinyue, Xu Chengshun, Hou Benwei, Du Xiuli, Li Liyun. Risk assessment of subway tunnel construction based on dynamic Bayesian network [J]. Journal of Geotechnical Engineering, 2022, 44 (03): 492-501 [Google Scholar]

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