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大跨度桥梁钢桥面板跨尺度疲劳损伤评估方法
引用本文:张宁,余凯,崔闯,张清华.大跨度桥梁钢桥面板跨尺度疲劳损伤评估方法[J].土木与环境工程学报,2024,46(3):161-170.
作者姓名:张宁  余凯  崔闯  张清华
作者单位:1.西南交通大学 土木工程学院, 成都 610031;2.中铁二院重庆勘察设计研究院有限责任公司, 重庆 401121
基金项目:国家自然科学基金(52108176、51878561、51978579、51778533、51578455);广东省重点领域研发计划项目(2019B111106002);桥梁结构健康与安全国家重点实验室开放课题(BHSKL19-06-KF);四川省科技计划项目(2021YJ0037)
摘    要:大跨度斜拉桥正交异性钢桥面板的顶板与纵肋焊接构造细节在车辆荷载作用下易产生疲劳损伤进而导致服役性能降低、影响行车安全。为评估大跨度桥梁钢桥面板的疲劳性能,提出基于细观损伤力学的大跨度钢桥疲劳损伤跨尺度评估方法;推导了基于细观损伤力学的钢桥面板疲劳损伤演化模型,在此基础上,结合实测交通数据,实现了基于Monte-Carlo法的随机车流模拟;最后,将提出的方法应用于一座大跨度三塔斜拉桥。研究结果表明,大跨度斜拉桥钢桥面板体系焊缝周围区域的累积疲劳损伤程度明显高于桥面板体系的其他部位;顶板与纵肋焊接构造细节的疲劳损伤累积呈现明显的非线性,预测的疲劳寿命远小于Miner线性疲劳损伤累积准则的结果。

关 键 词:大跨度桥梁  钢桥面板  细观疲劳  损伤演化  随机车流  损伤预测
收稿时间:2021/12/19 0:00:00

Multiscale fatigue damage assessment method for orthotropic steel deck of long-span bridges
ZHANG Ning,YU Kai,CUI Chuang,ZHANG Qinghua.Multiscale fatigue damage assessment method for orthotropic steel deck of long-span bridges[J].Journal of Civil and Environmental Engineering,2024,46(3):161-170.
Authors:ZHANG Ning  YU Kai  CUI Chuang  ZHANG Qinghua
Affiliation:1.School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China;2.China Railway Eryuan Engineering Group Co., Ltd., Chongqing 401121, P. R. China
Abstract:Orthotropic steel deck (OSD) in a long-span cable-stayed bridge is vulnerable to fatigue damage at the rib-to-deck (RD) joints due to traffic vehicle load. An algorithm for fatigue damage evaluation simulation of long-span bridge based on mesoscale damage model is presented in this paper. Firstly, the fatigue damage evolution model of steel deck based on microscopic damage mechanics is derived. Combined with the measured traffic data, the random traffic flow simulation is realized based on Monte-Carlo method. Finally, it is applied to estimate the damage accumulation of a multi-span cable-stayed bridge. The results indicate that the fatigue damage accumulation at the rib-to-deck (RD) joints is greater than other areas of the OSD. The cumulative rate of fatigue damage at the rib-to-deck (RD) joints shows a strong nonlinear trend. The results are also compared with those estimated by the linear Miner,s model. The predicted fatigue life is far less than that by the linear Miner,s model.
Keywords:large multi-span bridge  steel deck  mesoscale fatigue  damage evolution  stochastic traffic flow  fatigue prediction
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