基于非对称贴近度的在役隧道衬砌结构健康诊断方法  

A Diagnosis Method for Lining Structure Conditions of Operated Tunnels Based on Asymmetric Closeness Degree

作　　者：王亚琼[1,2] 周绍文[1] 孙铁军 谢永利[1] 

机构地区：[1]长安大学陕西省公路桥梁与隧道重点实验室,西安710064 [2]弗吉尼亚理工大学土木工程与环境工程系,黑堡va24061 [3]温州市交通工程咨询监理有限公司,温州325000

出　　处：《现代隧道技术》2015年第2期52-58,共7页Modern Tunnelling Technology

基　　金：国家自然科学基金:衬砌背后空洞条件下隧道结构受力特性研究(51408554);广西科技攻关项目:南方山区公路隧道施工安全保障与结构长期稳定技术研究(桂科攻10124006-10);长安大学中央高校基本科研业务费专项资金资助项目(2013G1502027;2013G3214011)

摘　　要：为评价在役隧道衬砌结构的健康状态,文章运用层次分析法的理念建立了由目标层、因素层、指标层构成的健康诊断指标体系,确定了在役隧道衬砌结构健康状态诊断指标的4个评价等级;采用极差变换确定了各诊断指标的无量纲评价标准;运用模糊理论、灰色系统理论和信息熵理论,构建了基于非对称贴近度判定隧道结构健康状态的评价模型。工程实例应用表明,评价模型能很好地反映隧道衬砌结构的实际健康状态。采用改进的灰色关联度法和熵值法综合确定指标权重,克服了主观随意性强的缺点,提高了权重系数的可靠度;利用非对称贴近度进行决策分析,确保诊断结果更符合客观实际。In order to evaluate the condition of tunnel lining structures in operation, a diagnosis index system composed of a target layer, factors layer and index layer was established by applying the concept of analytic hierarchy process to determine four evaluation grades for operated tunnel lining structure conditions. The non- dimensional evaluation criteria for each diagnosis index was determined by using the range transformation method, and an evaluation model for judging the condition of the tunnel structure based on the asymmetric closeness degree was set up by applying the fuzzy theory, the gray system theory and the information entropy theory. The project demonstrates that the evaluation model can properly reflect the real condition of the tunnel lining structure. The comprehensive index weights determined by the improved gray relevancy method and entropy value method can overcome the shortcomings of subjective arbitrariness and increase the reliability of weight coefficients, and the analysis based on the asymmetric closeness degree guarantees that the diagnostic results are more consistent with the objective reality.

关 键 词：隧道工程 健康诊断 灰色关联度 信息熵 非对称贴近度 

分 类 号：U457.2[建筑科学—桥梁与隧道工程]