摘要
针对现行石拱桥技术状态评定过程中不同技术人员对病害标度认定存在差异的问题,提出了一种基于熵权法-云模型的石拱桥技术状况评定方法。在现有石拱桥评定标准的基础上,首先将评语集、评定数据转换为云模型;再用熵权法对石拱桥部件间的权重进行调整,并引入组合模糊贴近度方法计算相似度获得评定结果;最后以某石拱桥为例,探究该方法在石拱桥技术状况评定中的适用性。结果表明:该石拱桥评价结果为4类,云模型的评价结果与《公路桥梁技术状况评定标准》方法得到的结果一致,符合现场检查结果。该方法考虑了病害标度确定的主观随机性和工程项目实际的差异性,其评价结果可以为石拱桥养护提供更加科学合理的决策依据。
In view of the differences in the identification of disease scales by different technicians in the current process of stone arch bridge technical condition assessment,a method for assessing the technical condition of stone arch bridges based on the entropy method-cloud model was proposed,which based on the existing assessment standards for stone arch bridges.Firstly,the method converted the comment set and evaluation data into a cloud model.Then it used the entropy method to adjust the weights of the stone arch bridge components and introduced the combined fuzzy pasting schedule method calculating the similarity to obtain the evaluation results.Finally,taking a stone arch bridge as an example,the applicability of this method in the evaluation of the technical condition of stone arch bridges was explored,and the results showed that:the evaluation results of the stone arch bridge were classified into 4 categories and the evaluation results of the cloud model were consistent with the results obtained by the“Highway Bridge Technical Condition Evaluation Standards”method,which were in line with the on-site inspection results.The method took into account the subjective randomness of the disease scale determination and the actual difference of the engineering project,which could provide a more scientific and reasonable decision-making basis for the maintenance of stone arch bridges.
作者
张鹏
钟山
朱锐
焦美菊
ZHANG Peng;ZHONG Shan;ZHU Rui;JIAO Meiju(School of Water Conservancy Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《郑州大学学报（工学版）》
CAS
北大核心
2022年第1期69-75,共7页
Journal of Zhengzhou University（Engineering Science）
基金
河南省杰出青年科学基金资助项目(212300410018)
河南省高校科技创新团队支持计划(20IRTSTHN009)。
关键词
桥梁工程
技术状况
云模型
熵权法
石拱桥
bridge engineering
technical status
cloud model
entropy method
stone arch bridge
