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Study on risk control of water inrush in tunnel construction period considering uncertainty

    Zhu Wen Affiliation
    ; Yuanpu Xia Affiliation
    ; Yuguo Ji Affiliation
    ; Yiming Liu Affiliation
    ; Ziming Xiong Affiliation
    ; Hao Lu Affiliation

Abstract

Water inrush risk is a bottleneck problem affecting the safety and smooth construction of tunnel engineering works, so the risk control of water inrush is important, however, geological uncertainty and artificial uncertainty always accompany tunnel construction. Uncertainty will not only affect the accuracy of water inrush risk assessment results, but also affect the reliability of water inrush risk decision-making results. How to control the influence of uncertainty on water inrush risk is key to solving the problem of water inrush risk control. Based on the definition of improved risk, a risk analysis model of water inrush based on a fuzzy Bayesian network is constructed. The main factors affecting the risk of water inrush are determined by sensitivity analysis, and possible schemes in risk control of water inrush are proposed. Based on the characteristics of risk control of water inrush in a tunnel, a multi-attribute group decision-making model is constructed to determine the optimal water inrush risk control scheme, so that the optimal scheme for reducing uncertainty in risk control of water inrush is determined. Finally, this system is applied to Shiziyuan Tunnel. The results show that the proposed risk control system for reducing uncertainty of water inrush is efficacious.


First published online 21 August 2019

Keyword : water inrush risk, uncertainty, risk control system, fuzzy Bayesian network, multi-attribute decision making

How to Cite
Wen, Z., Xia, Y., Ji, Y., Liu, Y., Xiong, Z., & Lu, H. (2019). Study on risk control of water inrush in tunnel construction period considering uncertainty. Journal of Civil Engineering and Management, 25(8), 757-772. https://doi.org/10.3846/jcem.2019.10394
Published in Issue
Aug 21, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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