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作 者:刘灿 郑邦友 李政 李茂莉 张义平[3] 张笑笑 LIU Can;ZHENG Bang-you;LI Zheng;LI Mao-li;ZHANG Yi-ping*;ZHANG Xiao-xiao(China Construction Tunnel Corp.Ltd.,Chongqing 401320,China;Guizhou Expressway Group Co.,Ltd,Guiyang 550001,China;Mining College,Guizhou University,Guiyang 550025,China)
机构地区:[1]中建隧道建设有限公司,重庆401320 [2]贵州高速公路集团有限公司,贵阳550001 [3]贵州大学矿业学院,贵阳550025
出 处:《科学技术与工程》2020年第15期6292-6297,共6页Science Technology and Engineering
基 金:国家自然科学基金(50764001);煤与瓦斯突出、高地应力、突水组合作用下隧道施工关键技术研究(CSCEC-2017-Z-28)。
摘 要: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。To determine the risk level of collapse in highway tunneling,four primary indicators and 12 secondary indicators were selected,on which an entropy-improved gray correlation highway tunnel collapse risk assessment model was built.An entropy-weight method was used to calculate the weight of the evaluation index.An improved gray correlation method was used to determine the correlation degree between each section of the tunnel and the risk level of the tunnel collapse.The final risk level was determined by combining the obtained weights,and the result was verified against an engineering example.Results show that among the 12 risk factors of highway tunnel collapse,annual average precipitation,tunnel span,surrounding rock grade,and tunnel depth had a large impact on tunnel collapse.By using the model,four segments of the tunnel were assessed,and the results agreed well with the real.The evaluation model provides an effective scientific basis for the determination and prevention of the collapse risk level of tunnel construction under construction.
分 类 号:X913.4[环境科学与工程—安全科学]
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