中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (7): 48-54.doi: 10.16265/j.cnki.issn1003-3033.2020.07.008

• 安全工程技术 • 上一篇    下一篇

公路桥梁结构运营荷载下安全状态评价方法

王建民 副研究员   

  1. 北京中交弘建路桥技术有限公司,北京 100095
  • 收稿日期:2020-04-22 修回日期:2020-06-15 出版日期:2020-07-28 发布日期:2021-07-15
  • 作者简介:王建民 (1977—),男,山东菏泽人,博士,副研究员,主要从事桥梁结构检测评定、安全监测、维修加固设计等方面的工作。E-mail:wangwujianmin@126.com。
  • 基金资助:
    福建省交通运输科技发展项目(201607)。

Evaluation method for safety state of highway bridge structure under operation load

WANG Jianmin   

  1. Beijing CCCC Hongjian Road and Bridge Technology Co., Ltd., Beijing 100095, China
  • Received:2020-04-22 Revised:2020-06-15 Online:2020-07-28 Published:2021-07-15

摘要: 为解决公路桥梁结构在随机运营荷载作用下安全状态评价难以量化的问题,提出基于实际影响线确定其性能状态的评价方法。首先,明确桥梁结构在车辆多轴力与单轴力荷载作用效应之间的数学模型基础上,采用莱文贝格-马夸特(LM)算法建立识别实际影响线的优化分析模型,并通过算例对模型进行理论验证;然后,根据行业技术标准规定,确定运营荷载下桥梁安全状态划分方式及具体的评价指标;最后,以公路预应力连续梁桥为对象,用所提出的方法进行实际影响线识别及安全状态评价。结果表明:以识别的影响线为依据计算的重车作用效应与加载实测结果偏差低于5%,可通过运营荷载的作用效应幅值快速进行安全状态评价。

关键词: 公路桥梁, 运营荷载, 安全状态, 实际影响线, 莱文贝格-马夸特(LM)算法

Abstract: In order to solve difficulty in quantifying safety state evaluation of highway bridge structure under random operation load, an evaluation method of its performance status based on actual influence line was proposed. Firstly, by clarifying mathematical model of bridge structure under multi axial force and uniaxial force, an optimization analysis model for identifying actual influence line was established using LM, and it was verified theoretically with examples. Then bridge safety state and specific evaluation index were determined according to technical standards of the industry. Finally, with highway prestressed continuous beam bridge as object, actual influence line identification and safety state evaluation were carried out with proposed method. The results show that the deviation between calculated result based on identified influence line and measured one is less than 5%, and safety state can be quickly assessed by action effect amplitude of operation load.

Key words: highway bridge, operation load, safety state, actual influence line, Levenberg-Marquardt(LM) algorithm

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