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A new decision method for construction scheme of shallow buried subway station

  • Qiu, Daohong (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Yu, Yuehao (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Xue, Yiguo (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Su, Maoxin (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Zhou, Binghua (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Gong, Huimin (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Bai, Chenghao (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Fu, Kang (Geotechnical and Structural Engineering Research Center, Shandong University)
  • Received : 2020.05.21
  • Accepted : 2022.07.23
  • Published : 2022.08.10

Abstract

With the development of the economy, people's utilization of underground space are also improved, and a large number of cities have begun to build subways to relieve traffic pressure. The choice of subway station construction method is crucial. If an inappropriate construction method is selected, it will not only waste costs but also cause excessive deformation that may also threaten construction safety. In this paper, a subway station construction scheme selects model based on the AHP-fuzzy comprehensive evaluation. The rationality of the model is verified using numerical simulation and monitoring measurement data. Firstly, considering the economy and safety, a comprehensive evaluation system is established by selecting several indicators. Then, the analytic hierarchy process is used to determine the weight of the evaluation index, and the dimensionless membership in the fuzzy comprehensive evaluation method is used to evaluate the advantages and disadvantages of the construction method. Finally, the method is applied to Liaoyang east road station of Qingdao metro Line 2, and the results are verified by numerical simulation and monitoring measurement data. The results show that the model is scientific, practical and applicable.

Keywords

Acknowledgement

Much of the work presented in this paper was supported by the National Natural Science Foundations of China (Grant numbers 41772298, 41877239, 51309144), and the State Key Development Program for Basic Research of China (Grant number 2013CB036002), and Shandong Provincial Natural Science Foundation (Grant number JQ201513).

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