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Risk assessment model of tunnel water inrush based on improved attribute mathematical theory

基于改进属性数学理论的隧道突涌水评估模型

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Abstract

Tunnel water inrush is one of the common geological disasters in the underground engineering construction. In order to effectively evaluate and control the occurrence of water inrush, the risk assessment model of tunnel water inrush was proposed based on improved attribute mathematical theory. The trigonometric functions were adopted to optimize the attribute mathematical theory, avoiding the influence of mutation points and linear variation zones in traditional linear measurement functions on the accuracy of the model. Based on comprehensive analysis of various factors, five parameters were selected as the evaluation indicators for the model, including tunnel head pressure, permeability coefficient of surrounding rock, crushing degree of surrounding rock, relative angle of joint plane and tunnel section size, under the principle of dimension rationality, independence, directness and quantification. The indicator classifications were determined. The links among measured data were analyzed in detail, and the objective weight of each indicator was determined by using similar weight method. Thereby the tunnel water inrush risk assessment model is established and applied in four target segments of two different tunnels in engineering. The evaluation results and the actual excavation data agree well, which indicates that the model is of high credibility and feasibility.

摘要

隧道突涌水是地下工程建设中常见的地质灾害之一。 为了评估并控制突涌水的发生, 建立基于改进属性数学理论的隧道突涌水评估模型。 利用三角函数曲线对属性数学理论进行优化, 避免传统的线性预测函数的突变点以及线性变化区域对模型精度的影响。 基于对多种因素的综合分析, 选取 5 个参数作为模型评估指标, 即隧道水头压力、 围岩渗透系数、 围岩破碎程度、 节理面的相对角度以及隧道断面面积, 同时, 满足评估指标集的维度合理性、 独立性、 直接性以及可量化的原则。 详细分析了测量数据之间的关联, 并利用相似权重法确定了每项指标的目标权重, 进而建立了隧道突涌水风险评估模型。 将该方法运用到 2 条不同隧道的 4 个标段, 评价结果与实际开挖情况对比表明, 二者吻合良好, 说明模型具有较高的精度。

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Authors and Affiliations

  1. School of Civil Engineering, Central South University, Changsha, 410075, China

    Xiao-li Yang  (杨小礼) & Sheng Zhang  (张胜)

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  1. Xiao-li Yang  (杨小礼)
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  2. Sheng Zhang  (张胜)
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Corresponding author

Correspondence to Xiao-li Yang  (杨小礼).

Additional information

Foundation item: Project(2013CB036004) supported by National Basic Research Program (973) of China; Project(51378510) supported by National Natural Science Foundation of China

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Yang, Xl., Zhang, S. Risk assessment model of tunnel water inrush based on improved attribute mathematical theory. J. Cent. South Univ. 25, 379–391 (2018). https://doi.org/10.1007/s11771-018-3744-5

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  • DOI: https://doi.org/10.1007/s11771-018-3744-5

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