中文核心期刊
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重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 2025, Vol. 44 ›› Issue (1): 43-54.DOI: 10.3969/j.issn.1674-0696.2025.01.06

• 交通基础设施工程 • 上一篇    

基于TIFANP-TOPSIS-TIFCE法的大跨桥梁安全状态评估方法

常龙飞1,2，吴杨3，王晨1,2，冉冰川4、郑锋4   

  1. (1. 重庆交通大学 省部共建山区桥梁及隧道工程国家重点实验室，重庆 400074； 2. 重庆交通大学 土木工程学院，重庆 400074；3. 重庆高速公路集团有限公司东北营运分公司，重庆 404100； 4. 重庆高速公路路网管理有限公司，重庆 400021)
  • 收稿日期:2024-08-10 修回日期:2024-09-06 发布日期:2025-01-20
  • 作者简介:常龙飞(2001—)，男，重庆奉节人，博士研究生，主要从事桥梁监测、评估方面的研究。E-mail：changlongfei2001@163.com 通信作者：王晨(1999—),女，河南安阳人，博士研究生，主要从事桥梁监测、评估方面的研究。E-mail：18738259901@163.com
  • 基金资助:
    国家自然科学基金项目(52278292)；重庆市杰出青年科学基金项目(CSTB2023NSCQ-JQX0029)；贵州省交通运输厅科技项目(2023-122-001)

Safety State Assessment Method of Long-Span Bridges Based on TIFANP-TOPSIS-TIFCE Method

CHANG Longfei1,2, WU Yang3, WANG Chen1,2, RAN Bingchuan4, ZHENG Feng4   

  1. (1. State Key Laboratory of Bridge and Tunnel Engineering in Mountainous Areas Jointly Constructed by the Ministry and the Province, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 3. Northeast Operation Branch, Chongqing Expressway Group Co., Ltd., Chongqing 404100, China; 4. Chongqing Expressway Network Management Co., Ltd., Chongqing 400021, China)
  • Received:2024-08-10 Revised:2024-09-06 Published:2025-01-20

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摘要： 针对传统方法子指标的不确定性问题，提出了一种基于三角直觉模糊网络分析法(triangular intuitionistic fuzzy analytic network process，TIFANP)、优劣解距离法(technique for order preference by similarity to an ideal solution，TOPSIS)和三角直觉模糊综合评价(triangular intuitionistic fuzzy comprehensive evaluation，TIFCE)的大跨桥梁安全状态评估方法。首先，建立大跨桥梁安全状态分层指标体系，采用TIFANP法确定考虑指标相互影响后的权重；其次，引入TOPSIS法分配指标各截面权重，进而获得子指标取值；然后，将桥梁安全状态划分为5级，通过TIFCE法构建指标在不同等级的隶属度和非隶属度函数，据此建立对应判断矩阵，并进行桥梁安全状态指数综合计算；最后，以某大跨悬索桥监测数据为依托，验证了所提方法的有效性。结果表明：所提方法能够更合理地处理评价指标间的相互影响以及专家评分时的不确定，可为运营期大跨桥梁安全状态的准确评估提供新思路。

关键词: 桥梁工程；大跨桥梁；安全状态评估；三角直觉模糊网络分析法；优劣解距离法；三角直觉模糊综合评价

Abstract: Aiming at the problem of uncertainty of sub-indicators in traditional methods, a safety state assessment method for long-span bridges was proposed, which was based on triangular intuitionistic fuzzy analytic network process (TIFANP), technique for order preference by similarity to an ideal solution (TOPSIS) and triangular intuitionistic fuzzy comprehensive evaluation (TIFCE). Firstly, the hierarchical indicator system for the safety state of long-span bridges was established, and the TIFANP method was used to determine the weights of the indicators after considering their mutual influence. Subsequently, the TOPSIS method was introduced to allocate the weights of each section of the indicators, thereby obtaining the values of sub-indicators. Then, the safety state of the bridge was divided into 5 levels, and the membership and non-membership functions of the indicators at different levels were constructed by the TIFCE method. On this basis, the corresponding judgment matrices were established, and the comprehensive calculation of the bridge safety state indicators was carried out. Finally, the effectiveness of the proposed method was verified by the monitoring data from a certain long-span suspension bridge. The results show that the proposed method can deal with the interactions between the evaluation indicators and the uncertainty of the experts’ scoring in a more reasonable way, which can provide a new idea for the accurate assessment of the safety state of long-span bridges during the operation period.

Key words: bridge engineering; long-span bridge; safety state assessment; triangular intuitionistic fuzzy analysis network process (TIFANP); technique for order preference by similarity to an ideal solution (TOPSIS); triangular intuitionistic fuzzy comprehensive evaluation (TIFCE)

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