基于模块化恢复函数的铁路斜拉桥抗震韧性评估研究

段佳宏; 罗天; 蒋建军; 尹伟涛; 邓力文; 李沐远; 赵灿晖

doi:10.19713/j.cnki.43-1423/u.T20251453

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基于模块化恢复函数的铁路斜拉桥抗震韧性评估研究

桥梁隧道与结构 | 更新时间：2026-07-24

- 基于模块化恢复函数的铁路斜拉桥抗震韧性评估研究
- Seismic resilience assessment of railway cable-stayed bridges based on modular recovery functions
- 铁道科学与工程学报 2026年23卷第7期页码：3328-3338
- 作者机构：
  
  1.西南交通大学土木工程学院，四川成都 610031
  2.四川省公路规划勘察设计研究院有限责任公司，四川成都 610041
  3.抗震安全与韧性四川省重点实验室，四川成都 610031
- 作者简介：
  
  赵灿晖(1970—)，男，云南楚雄人，教授，博士，从事桥梁抗震韧性研究；E-mail：zch2887@163.com
- 基金信息：
  
  国家自然科学基金区域联合基金资助项目(U21A20154);四川省科技计划重点研发资助项目(2023YFS0429)
- DOI：10.19713/j.cnki.43-1423/u.T20251453
  中图分类号： U24;U448.27
- 收稿：2025-09-16，
  
  网络首发：2026-07-24，
  
  纸质出版：2026-07-28
- 稿件说明：
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段佳宏,罗天,蒋建军等.基于模块化恢复函数的铁路斜拉桥抗震韧性评估研究[J].铁道科学与工程学报,2026,23(07):3328-3338.

DUAN Jiahong,LUO Tian,JIANG Jianjun,et al.Seismic resilience assessment of railway cable-stayed bridges based on modular recovery functions[J].Journal of Railway Science and Engineering,2026,23(07):3328-3338.
段佳宏,罗天,蒋建军等.基于模块化恢复函数的铁路斜拉桥抗震韧性评估研究[J].铁道科学与工程学报,2026,23(07):3328-3338. DOI： 10.19713/j.cnki.43-1423/u.T20251453.

DUAN Jiahong,LUO Tian,JIANG Jianjun,et al.Seismic resilience assessment of railway cable-stayed bridges based on modular recovery functions[J].Journal of Railway Science and Engineering,2026,23(07):3328-3338. DOI： 10.19713/j.cnki.43-1423/u.T20251453.

摘要

为了研究模块化功能恢复函数对铁路斜拉桥抗震韧性的影响，以铁路斜拉桥车速损失量化震后功能损失，建立了包含恢复函数形式、修复时间、功能恢复等参数的功能恢复函数模块，考虑斜拉桥各子系统修复顺序，组装集成6种系统功能恢复函数。以某公铁两用斜拉桥为研究对象，建立全桥非线性有限元模型进行增量动力分析(incremental dynamic analysis

IDA)，计算系统易损性及通行功能易损性，基于易损性结果量化了通行功能损失、功能恢复权重系数、修复时间，并进行了抗震韧性评估，研究了功能恢复权重、修复顺序、修复函数模块等关键参数对铁路斜拉桥抗震韧性的影响。研究结果表明：新型功能恢复函数具有模块化特点，可根据修复方案任意组装得到功能恢复函数，显著拓展了功能恢复函数的适用范围。通过传统的综合型功能恢复函数得到的韧性指数受恢复函数形式唯一影响，难以客观反映修复过程对系统韧性的影响，直接用于抗震韧性评价有局限性，而模块化功能恢复函数的关键参数计算客观简便，便于应用。本文计算的子系统功能恢复权重系数随地表峰值加速度(peak ground acceleration

PGA)变化而变化，其物理意义是量化了子系统修复对系统功能恢复速率的重要程度，为修复顺序的优化决策提供了重要依据。当PGA小于0.5

时，先修复损伤程度更大且修复时间更短的支座子系统，可快速恢复斜拉桥系统功能，有助于系统的韧性提升。研究结果能为铁路斜拉桥震后修复决策和抗震韧性提升提供参考。

Abstract

To investigate the impact of modular functionality recovery functions on the seismic resilience of railway cable-stayed bridges

this study quantified post-earthquake functionality loss through vehicle speed reduction. Functionality recovery modules incorporating parameters such as recovery function types

repair durations

and functional restoration were developed. Considering the repair sequences of various subsystems

six system-level functionality recovery functions were assembled and integrated. A rail-road cable-stayed bridge was selected as the case study

where a nonlinear finite element model of the full bridge was developed for incremental dynamic analysis (IDA). System fragility and traffic functionality fragility were calculated

based on which traffic functionality loss

functionality recovery weighting coefficients

and repair time were quantified. A seismic resilience assessment was conducted to analyze the influence of key parameters

which include functionality recovery weights

repair sequences and recovery function modules

on the seismic resilience of railway cable-stayed bridges. The research conclusions are drawn as follows. (1) The novel functionality recovery function can exhibit modular characteristics

enabling flexible assembly according to specific repair strategies

which significantly broadens its applicability. (2) Resilience indices derived from traditional comprehensive functionality recovery functions are solely influenced by the recovery function itself

making it difficult to objectively reflect the impact of repair processes on system resilience. Thus

their direct application in seismic resilience evaluation has limitations. The key parameters of modular functionality recovery functions can be computed objectively and easily

facilitating practical implementation. (3) The subsystem functionality recovery weighting coefficients calculated in this study vary with peak ground acceleration (PGA)

whose physical meaning is to quantify the importance of each subsystem’s repair to the overall system recovery rate

providing critical support for optimizing repair sequence decisions. (4) When PGA is less than 0.5g

bearing subsystems typically experience higher damage levels yet require shorter repair times. Prioritizing their repair can rapidly restore system functionality and enhance resilience.

关键词

Keywords

references

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