移动车辆激励下梁桥位移影响面重构及损伤诊断方法OA北大核心CSTPCD
Reconstruction and damage diagnosis method for displacement influence surface of girder bridges in moving vehicle excitation
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…查看全部>>
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 m…查看全部>>
周宇;孙文卓;狄生奎;黄继源;石英迪
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安徽建筑大学土木工程学院,安徽合肥,230601||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兰州交通大学土木工程学院,甘肃兰州,730070合肥泽众城市智能科技有限公司,安徽合肥,230601安徽建筑大学土木工程学院,安徽合肥,230601||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
交通运输
桥梁影响线影响面重构变分模态分解横向分布损伤诊断
bridge influence lineinfluence surface reconstructionvariational mode decompositionhorizontal distributiondamage diagnosis
《中南大学学报（自然科学版）》 2024 (9)
3613-3626,14
甘肃省建设科技计划项目(JK2023-03)国家自然科学基金资助项目(51868045)安徽省自然科学基金资助项目(2008085QE247)安徽省高校优秀拔尖人才培育项目(gxgnfx2022021)安徽省高校科学研究重点项目(2022AH050248)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(GG22KF002)(Project(JK2023-03)supported by the Construction Science and Technology Project of Gansu ProvinceProject(51868045)supported by the National Natural Science Foundation of ChinaProject(2008085QE247)supported by the Natural Science Foundation of Anhui ProvinceProject(gxgnfx2022021)supported by the Cultivation of Excellent and Top Talents in Universities in Anhui ProvinceProject(2022AH050248)supported by the Anhui University Scientific Research Key ProgramProject(GG22KF002)supported by the Fund for the Director of the National-local Joint Engineering Laboratory for Building Health Monitoring and Disaster Prevention Technology)
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