基于熵权-改进灰色关联模型的公路隧道塌方风险评估

为确定公路隧道施工过程中塌方风险等级,选取工程地质等4项一级指标,围岩级别等12项二级指标,建立熵权-改进灰色关联的公路隧道塌方风险评价模型。采用熵权法计算评价指标权重；采用改进灰色关联法确定各段隧道与隧道塌方各风险等级的关联度,并与所求得的权重相结合确定最终的风险等级,并将结果与工程实例相印证。结果表明：公路隧道塌方的12项风险因素中,年均降水量、隧道跨度、围岩级别、隧道埋深对隧道塌方影响较大；采用本文模型对四段隧道进行评价,评价结果均与实际相符。可见该评价模型为在建隧道施工塌方风险等级的确定与预防提供了科学而有效的依据。

Risk Assessment of Highway Tunnel Collapse Based on Entropy Weight-Modified Grey Relational Model

: In order to determine the risk level of collapse in the highway tunnel construction process, four primary indicators such as engineering geology and 12 secondary indicators such as surrounding rock grade are selected to establish an entropy-improved gray correlation highway tunnel collapse risk assessment model. The entropy weight method is used to calculate the weight of the evaluation index; the improved gray correlation method is used to determine the correlation degree between each section of the tunnel and the risk level of the tunnel collapse, and the final risk level is determined by combining the obtained weights, and the result is compared with the engineering example. The results show that among the 12 risk factors of highway tunnel collapse, annual average precipitation, tunnel span, surrounding rock grade and tunnel depth have great influence on tunnel collapse; the four-segment tunnel is evaluated by this model, and the evaluation results are both actual and actual. Match. The evaluation model provides a scientific and effective basis for the determination and prevention of the collapse risk level of tunnel construction under construction.