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基于改进博弈论和不确定性测度理论的隧道工程岩溶突水风险评估

Risk assessment of karst water inrush in tunnel engineering based on improved game theory and uncertainty measure theory.

作者信息

Zhao Rui, Zhang Linsen, Hu Ankui, Kai Song, Fan Chenchen

机构信息

School of Energy and Power Engineering, Xihua University, Chengdu, 610039, China.

Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, 610039, China.

出版信息

Sci Rep. 2024 Aug 31;14(1):20284. doi: 10.1038/s41598-024-71214-8.

DOI:10.1038/s41598-024-71214-8
PMID:39217252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11365966/
Abstract

The sudden inrush of water poses a serious threat to the safety of workers during tunnel construction in the karst region of southwest China. To mitigate this risk, a model is proposed to assess the risk of water surge through a tunnel by combining improved game theory with uncertainty measure theory. Eight indicators of risk were extracted based on the solubility of rock, its geological structure, capacity for surface catchment, and hydrogeological factors, and were incorporated into the proposed model. The subjective weights of these indicators were obtained using the analytic hierarchy process, while their objective weights were calculated through the entropy weighting method and the criteria importance through intercriteria correlation method. An improved game theory-based method of combinatorial weighting was then used to construct the corresponding weight vectors. Single-indicator measurement functions and multi-indicator measurement matrices were utilized to classify and evaluate the indicators of the risk of a surge in water level based on a confidence criterion. The proposed method was applied to five typical karst sections of the Yanjin Tunnel of the Chongqing-Kunming High-speed Railway Project, and the method was validated by comparing the recorded and estimated inflow volume ranges during the project's construction, showing consistency with the actual evaluation results. This proposed model thus offers a practical tool for assessing the risk of water inrush in karst tunnels.

摘要

在中国西南部岩溶地区进行隧道施工时,突然涌入的水对工人的安全构成了严重威胁。为了降低这种风险,提出了一种通过将改进的博弈论与不确定性测度理论相结合来评估隧道涌水风险的模型。基于岩石的溶解性、地质结构、地表集水能力和水文地质因素提取了八个风险指标,并将其纳入所提出的模型中。这些指标的主观权重采用层次分析法获得,而其客观权重则通过熵权法计算,并通过准则间相关性方法计算准则重要性。然后采用一种基于改进博弈论的组合赋权方法来构建相应的权重向量。基于置信准则,利用单指标测度函数和多指标测度矩阵对水位涌水风险指标进行分类和评估。将所提出的方法应用于重庆至昆明高速铁路项目盐津隧道的五个典型岩溶地段,并通过比较项目施工期间记录的和估计的涌水量范围对该方法进行了验证,结果表明与实际评估结果一致。因此,所提出的模型为评估岩溶隧道突水风险提供了一种实用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/19660c86a42c/41598_2024_71214_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/a628c5559cf2/41598_2024_71214_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/77ba8503c652/41598_2024_71214_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/4ef8c46f4ce4/41598_2024_71214_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/19660c86a42c/41598_2024_71214_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/a628c5559cf2/41598_2024_71214_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/77ba8503c652/41598_2024_71214_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/4ef8c46f4ce4/41598_2024_71214_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2340/11365966/19660c86a42c/41598_2024_71214_Fig4_HTML.jpg

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