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移动车辆激励下梁桥位移影响面重构及损伤诊断方法

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  • 国家科技期刊平台
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针对桥梁影响线只考虑荷载一维状态而无法得到结构横向荷载效应，以及车辆激励下提取桥梁时程响应时受结构动力响应和车辆多轴效应影响的问题，提出基于变分模态分解和L2正则化的梁桥影响面重构及损伤诊断方法。首先，将车辆简化为线荷载，通过单辆重车多车道分别加载得到桥梁各车道原始时程响应，利用变分模态分解剥离时程响应中的动力成分，再根据车辆轴距和采样频率建立车辆信息矩阵及影响线识别的数学模型进而剔除车辆多轴效应;其次，利用L2正则化识别桥梁影响线，通过横向插值将各车道影响线重构为影响面;最后，利用影响面差值指标定位桥梁损伤。根据实际三跨钢混组合梁桥建立有限元模型，使用频率相对误差与模态置信准则修正该结构动力模型，基于动力修正后的模型验证该方法的可行性。研究结果表明:该方法可较准确地重构真实桥梁影响面，通过桥梁影响面对结构损伤进行定位的结果更直观、可靠。
Reconstruction and damage diagnosis method for displacement influence surface of girder bridges in moving vehicle excitation
Aiming at the problems of the limitation of considering only one-dimensional loading effects on bridge influence lines,and the inability to account for lateral load effects on the structure,as well as the challenges posed by structural dynamic responses and the multi-axial effects of vehicles in extracting bridge time-history responses in vehicle excitations,a method for the reconstruction of bridge influence surfaces and damage diagnosis was proposed.This method was based on variational modal decomposition and L2 regularization.Firstly,the vehicles were simplified as line loads and the original time-history responses of each lane of the bridge were obtained by separately applying loading from single heavy vehicles on multiple lanes.The variational modal was utilized to separate dynamic components from the time-history responses.Subsequently,a mathematical model was established based on vehicle axle spacing and sampling frequency to identify the vehicle information matrix and recognize the influence lines,thereby eliminating multi-axial effects of vehicles.Secondly,L2 regularization was employed to identify the bridge influence lines.Through lateral interpolation,the influence lines for each lane were reconstructed into influence surfaces.Finally,a damage localization was achieved using an influence surface difference indicator.A finite element model of an actual three-span steel-concrete composite beam bridge was established.The structural dynamic model was refined using frequency relative error and modal confidence criteria.The feasibility of the proposed method was validated by the corrected model.The results show that the proposed method can accurately reconstruct real bridge influence surfaces,and the use of influence surfaces for structural damage localization is more intuitive and reliable.

bridge influence lineinfluence surface reconstructionvariational mode decompositionhorizontal distributiondamage diagnosis

周宇、孙文卓、狄生奎、黄继源、石英迪

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安徽建筑大学土木工程学院,安徽合肥,230601

兰州交通大学土木工程学院,甘肃兰州,730070

安徽建筑大学建筑健康监测与灾害预防技术国家地方联合工程实验室,安徽合肥,230601

合肥泽众城市智能科技有限公司,安徽合肥,230601

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桥梁影响线 影响面重构 变分模态分解 横向分布 损伤诊断

甘肃省建设科技计划项目国家自然科学基金资助项目安徽省自然科学基金资助项目安徽省高校优秀拔尖人才培育项目安徽省高校科学研究重点项目建筑健康监测与灾害预防技术国家地方联合工程实验室主任基金资助项目

JK2023-03518680452008085QE247gxgnfx20220212022AH050248GG22KF002

2024

10.11817/j.issn.1672-7207.2024.09.032

中南大学学报(自然科学版)
中南大学

中南大学学报(自然科学版)

CSTPCD北大核心
影响因子：0.938
ISSN：1672-7207
年,卷(期)：2024.55(9)