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作 者:黄艳华 吴贤国[2] 曾明平[1] HUANG Yanhua;WU Xianguo;ZENG Mingping(Zhongnan Hospital,Wuhan University,Wuhan 430071,China;School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
机构地区:[1]武汉大学中南医院,湖北武汉430071 [2]华中科技大学土木与水利工程学院,湖北武汉430074
出 处:《武汉大学学报(工学版)》2022年第3期261-268,共8页Engineering Journal of Wuhan University
基 金:国家自然科学基金项目(编号:51778262)。
摘 要:结合工程实践和文献研究,从局部病害、结构耐久性、渗透水、外部环境和其他因素5个维度构建了涵盖13个指标的运营地铁结构健康风险感知指标体系,根据监测数据,基于云模型进行属性区间离散化,将指标划分为安全、较安全、基本安全、较危险和危险5个等级,将相互影响的因素视为多维云,构建多维云-Copula模型,提出一种基于联合隶属度的运营地铁结构健康风险感知方法。以武汉地铁二号线范汉区间为例进行分析,得到结果:结构耐久性、渗透水、外部环境和其他这4类指标处于安全等级,局部病害指标处于较安全等级,但结构耐久性、外部环境和局部病害指标有恶化趋势。并针对各指标提出了具体防护措施以为后期维护提供决策支持。Combined with engineering practice and literature research,a index system of structural health risk perception of subway in operation is constructed,which covers 13 indicators,five dimensions of local diseases,structural durability,permeate water,external environment and other factors.Based on the monitoring data,the attribute ranges are discretized and divided into five levels of safety on the basis of cloud model:safe,relatively safe,basic safe,relatively dangerous,and dangerous.The factors that affect each other are regarded as multidimensional clouds,and the multi-dimensional cloud-Copula model is established,a method for perception the health risk of subway structures based on the joint membership degree is proposed.Finally,the Fanhan Section of the Wuhan Metro Line No.2 is taken as an example for analysis,it is found that the indicators of structural durability,permeate water,external environment and other factors are at the safety level,the local disease indicator is at the relatively safe level,but the indicators of structural durability,external environment and local disease have a tendency to deteriorate.Specific protective measures are proposed for each index to provide decision-making advices for subsequent maintenance.
关 键 词:多维云模型 COPULA函数 运营地铁 结构健康风险感知
分 类 号:X913.4[环境科学与工程—安全科学]
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