桥梁结构服役状态的动态分级聚类模型

doi:10.16265/j.cnki.issn1003-3033.2018.09.017

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (9): 98-102.doi: 10.16265/j.cnki.issn1003-3033.2018.09.017

桥梁结构服役状态的动态分级聚类模型

刘朝峰^1,2 讲师, 曹纯博¹, 刘才玮³ 讲师, 赵少伟^**1,2 教授, 刘之鹏⁴ 高级工程师

1 河北工业大学土木与交通学院,天津 300401
2 河北工业大学河北省土木工程技术研究中心,天津 300401
3 青岛理工大学土木工程学院,山东青岛 266033
4 天津市公路工程总公司,天津 300041

收稿日期:2018-06-10 修回日期:2018-07-30 出版日期:2018-09-28 发布日期:2020-09-28
通讯作者: 赵少伟(1972—),男,河北保定人,博士,教授,主要从事桥梁评估与加固方面研究。E-mail: 1121962009@ qq.com。
作者简介:刘朝峰(1984—),男,河北晋州人,博士,讲师,主要从事基础设施防灾减灾方面的研究。E-mail:liucf8403@hebut.edu.cn。
基金资助:
国家自然科学基金资助(51678017); 山东省自然科学基金资助(ZR2016EEB13);国家社会科学基金资助(18CGL019);天津市交通运输科技发展计划项目(2016A-02)。

Dynamic grading clustering method based model for evaluation of service state of bridge structure

LIU Chaofeng^1,2, CAO Chunbo¹, LIU Caiwei³, ZHAO Shaowei^1,2, LIU Zhipeng⁴

1 School of Civil and Transportation Engineering,Hebei University of Technology,Tianjin 300401,China
2 Research Center of Civil Engineering Technology of Hebei Province,Hebei University of Technology, Tianjin 300401, China
3 College of Civil Engineering, Qingdao University of Technology, Qingdao Shandong 266033, China
4 Tianjin Highway Engineering Corporation, Tianjin 300041, China

Received:2018-06-10 Revised:2018-07-30 Online:2018-09-28 Published:2020-09-28

摘要/Abstract

摘要： 为准确快速评定现役桥梁的结构状态等级,结合桥梁工程检测规范和结构特征参数,从几何特征、材料性能、环境条件、作用类型等4个维度构建钢筋混凝土桥梁服役状态量化指标体系;基于动态分级聚类法(DGCM)和熵权综合排序法,建立桥梁结构服役状态的动态聚类评定模型;采用该模型对11座桥梁进行状态评定,并将评定结果与其他方法进行对比分析。结果表明:在最佳聚类数目下的桥梁分类结果与另2种方法的结果完全一致;相比既有的规范标准方法,用所建模型能够更加准确科学地评定桥梁的实际服役状况。

关键词: 桥梁, 服役状态, 动态分级聚类法(DGCM), 评定方法, 自振频率

Abstract: In order to accurately and quickly assess the structural state of existing service bridges, combined with the inspection specifications and structural characteristics of bridge projects, a quantitative index system for the service status of reinforced concrete bridges was constructed from the four dimensions of geometric characteristics, material properties, environmental conditions and action types. Based on the DGCM and sorting method, a dynamic cluster evaluation model for the service statuses of bridge structures was established. The model was used to evaluate the statuses of 11 bridges and a comparison was made between the results and those by other methods. The results show that the results by bridge classification under the optimal number of clusters are completely consistent with the results by the other two methods, and that compared with the existing normative standard methods, it can more accurately and scientifically assess the actual service status of bridges, guide prioritizing of bridge maintenance and resource allocation activities, and provide a basis for developing a reasonable bridge management strategy.

Key words: bridge, service status, dynamic grading clustering method(DGCM), assessment method, natural frequency

中图分类号:

X913.4

刘朝峰, 曹纯博, 刘才玮, 赵少伟, 刘之鹏. 桥梁结构服役状态的动态分级聚类模型[J]. 中国安全科学学报, 2018, 28(9): 98-102.

LIU Chaofeng, CAO Chunbo, LIU Caiwei, ZHAO Shaowei, LIU Zhipeng. Dynamic grading clustering method based model for evaluation of service state of bridge structure[J]. China Safety Science Journal, 2018, 28(9): 98-102.

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桥梁结构服役状态的动态分级聚类模型

Dynamic grading clustering method based model for evaluation of service state of bridge structure

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