中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2023, Vol. 42 ›› Issue (12): 9-14.DOI: 10.3969/j.issn.1674-0696.2023.12.02

• Transportation+Big Data & Artificial Intelligence • Previous Articles    

Synthetic Evaluation Method of Bridge Based on BWM and Fuzzy Theory

LI Yunyu1, ZHANG Zhicheng2, CHEN Jinzhou3, PENG Hanxian2   

  1. (1.School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, Hubei, China; 2.School of Naval Architecture, Ocean and Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, Hubei, China; 3.CCCC Second Highway Constructions Co. Ltd., Wuhan 430212, Hubei, China)
  • Received:2022-12-28 Revised:2023-04-04 Published:2023-12-26

基于BWM与模糊理论的桥梁综合评估方法

李耘宇1,张智成2,陈金州3,彭瀚贤2   

  1. (1.武汉理工大学 交通与物流工程学院,湖北 武汉 430063; 2.武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063; 3.中交第二公路勘察设计研究院有限公司,湖北 武汉 430212)
  • 作者简介:李耘宇(1984—),男,湖北武汉人,讲师,博士,主要从事桥梁工程方面的研究。E-mail:liyunyu@whut.edu.cn 通信作者:张智成(1998—),男,湖北武汉人,硕士研究生,主要从事桥梁工程方面的研究。E-mail:2573257405@qq.com
  • 基金资助:
    国家自然科学基金青年科学基金项目(51708433)

Abstract: Taking the state of the bridge structure and its various parts as the evaluation object, a low-level function with membership degree as the evaluation index was established based on fuzzy theory, and the model was comprehensively evaluated by using the BWM (best worst method) method as a hierarchical weight evaluation means. Using a bottom-up and step-by-step transmission method, the bottom level vector was combined with the indicator weights determined by the BWM method at each level, and the indicators at each level were evaluated layer by layer. Finally, the comprehensive evaluation level of the bridge was determined. According to the comprehensive evaluation level, the priority order of reinforcement for each part of the bridge was determined. Finally, a comprehensive state evaluation of Dingjia Bridge was conducted as an example, and suggestions for reinforcement priority order were given.

Key words: bridge engineering; bridge state assessment; BWM method; fuzzy evaluation method; membership function; reinforcement priority order

摘要: 以桥梁结构及各构部件的状态作为评价对象,基于模糊理论建立以隶属度为评价指标的底层函数,并通过BWM(best worst method)法为层级权重评价手段对模型进行了综合评估;采用自下而上,逐级传递的方法,将底层向量与各层级按BWM法确定的指标权重相结合,并对各级指标展开逐层评价,最终确定了桥梁的综合评定等级;根据综合评定等级对桥梁各部位加固的优先顺序进行判断;最后以丁家桥为实例进行了该桥梁的综合状态评估,并给出了加固优先等级的建议。

关键词: 桥梁工程;桥梁状态评估;BWM方法;模糊评估法;隶属函数;加固优先顺序

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