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基于灰色关联度的在役混凝土结构耐久性评估
引用本文:周小龙,袁燕超,陈 莉,马希瑞,刘博雅.基于灰色关联度的在役混凝土结构耐久性评估[J].武汉工程大学学报,2017,39(2):169-175.
作者姓名:周小龙  袁燕超  陈 莉  马希瑞  刘博雅
作者单位:1. 武汉工程大学资源与土木工程学院,湖北 武汉 430074;2. 湖北商贸学院建筑经济与工程管理学院,湖北 武汉 430079
摘    要:为了提高混凝土结构耐久性评估结果的准确性和客观性,提出了一种基于灰色系统理论的混凝土结构耐久性评估方法. 该方法首先以现场检测的数据为依据,进行“少数据”建模,并用非线性数学模型取代传统的线性模型对评估指标值进行归一化处理;然后应用层次分析法改进初始专家权重,并构造变权重;再基于灰色理论对样本及评价指标进行分析,并以灰色关联度作为划分混凝土结构或构件耐久性技术状态的主要依据;最后通过算例分析,说明了该方法的应用过程,并验证了该方法计算结果的可靠性. 计算结果表明:基于灰色关联度的在役混凝土结构耐久性评估方法能够有效减小主观因素和专家知识对评估结果的影响,且计算过程简单,适于实际工程应用.

关 键 词:灰色关联度  混凝土结构  耐久性  评价指标

Durability Evaluation of Concrete Structure Based on Grey Relation Degree
Authors:ZHOU Xiaolong  YUAN Yanchao  CHEN Li  MA Xirui  LIU Boya
Affiliation:1.School of Resource and Civil Engineering,Wuhan Institute of Technology,Wuhan 430074, China;2. School of Construction Economics and Engineering Management, Hubei Business College,Wuhan 430079, China
Abstract:To raise the accuracy and objectivity of concrete structure durability evaluation,we proposed a method based on grey system theory. First,the models with "less data" were developed based on inspection data,and the values of evaluation indexes were normalized by nonlinear mathematical methods replacing traditional linear methods;second,the initial expert weights were improved by using the analytic hierarchy process,and the variable weights were constructed;next,the sample and evaluation indexes were analyzed by the grey system theory,and the concrete structure durability condition was evaluated by the grey relation degree. Finally, the application process of the method was illustrated in a practical engineering case,and the reliability was also proved. The results show that the durability evaluation method of existing concrete structures based on grey relation degree can effectively reduce the influence of subjective factors and expert knowledge on the evaluation results and the calculation process is simple,providing references for practical engineering application.
Keywords:grey relation degree  concrete structure  durability  evaluation index
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