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Deformation characteristics and stability analysis of semi-covered deep excavations with existing buildings

  • Linfeng Wang (College of Civil Engineering, Chongqing University) ;
  • Xiaohan Zhou (College of Civil Engineering, Chongqing University) ;
  • Tao Chen (China Railway Major Bridge Reconnaissance & Design Institute Co., Ltd.) ;
  • Xinrong Liu (College of Civil Engineering, Chongqing University) ;
  • Peng Liu (College of Civil Engineering, Chongqing University) ;
  • Shaoming Wu (Guangzhou Expressway Co.,Ltd.) ;
  • Feng Chen (Guangzhou Expressway Co.,Ltd.) ;
  • Bin Xu (College of Civil Engineering, Chongqing University)
  • 투고 : 2021.06.29
  • 심사 : 2023.05.25
  • 발행 : 2023.07.10

초록

The cover plate and the building loads often make the semi-covered deep excavations with existing buildings bearing asymmetric load, presenting different deformation characteristics with normal excavations, which is not absolutely clear in current studies. Based on a typical engineering, the building storeys, the basement storeys, the pile length, the existence of the cover plate (CP) and the depth of the diaphragm walls (DW) were selected as variables, and 44 groups of simulation were designed to study the influence of existing buildings and the semi-covered supporting system on the deformation of the excavations. The results showed that the maximum lateral displacement of DW, δhm, and the depth of δhm, Hm, are affected seriously by the building storeys and the basement storeys. Asymmetric structures and loading lead to certain lateral displacement of DW at the beginning of excavation, resulting in different relationships between δhm and excavation depth, H. The maximum surface settlement outside the pit, δvm, increases significantly and the location, dm, moves away from the pit with the building storeys increases. δvm has a quadratic correlation with H due to the existing buildings. CP and building load will affect the style of the lateral displacement curve of DW seriously in different aspects.

키워드

과제정보

The study is supported by National Natural Science Foundation of China (Grant No. 41972266), Chongqing Postdoctoral Natural Science Foundation of China (Grant No. cstc2019jcyj-bshX0072) and Graduate Scientific Research and Innovation Foundation of Chongqing, China (Grant No. CYB20031).

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