湖南大学学报(自然科学版)2024,Vol.51Issue(7) :127-136.DOI:10.16339/j.cnki.hdxbzkb.2024074

基于高分辨率模态柔度矩阵桥梁损伤识别的少量传感器方法

Bridge Damage Identification Method Based on High-resolution Modal Flexibility Matrix with Limited Sensors

马宏伟 郑晓杰 夏子立 闫禹 聂振华
湖南大学学报(自然科学版)2024,Vol.51Issue(7) :127-136.DOI:10.16339/j.cnki.hdxbzkb.2024074

基于高分辨率模态柔度矩阵桥梁损伤识别的少量传感器方法

Bridge Damage Identification Method Based on High-resolution Modal Flexibility Matrix with Limited Sensors

马宏伟 1郑晓杰 2夏子立 3闫禹 3聂振华2
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作者信息

  • 1. 东莞理工学院 生态环境与建筑工程学院,广东 东莞 523808;广东省城市生命线工程智慧防灾与应急技术重点实验室,广东 东莞 523808
  • 2. 暨南大学 力学与建筑工程学院,广东 广州 510632;"重大工程灾害与控制"教育部重点实验室,广东 广州 510632
  • 3. 港珠澳大桥管理局,广东 珠海 519060
  • 折叠

摘要

为了降低监测系统成本和提高桥梁损伤识别精度,本文利用少量传感器获得高分辨率模态振型.在考虑路面粗糙度的情况下,基于柔度变化率进行损伤识别.在不同路面粗糙度水平下,对移动车辆荷载作用下桥梁上所测位移响应进行特征正交分解,再将得到的主成分矩阵中高频动力分量信息过滤,获得高分辨率的模态振型.利用少量传感器方法得到的高分辨率模态振型计算柔度变化率,将其作为桥梁损伤定位的指标.为了验证该方法的有效性,对一简支梁进行模拟和试验.结果显示,该方法在考虑不同粗糙度水平情况下,利用少量传感器得到高分辨率模态振型的柔度变化率能准确定位损伤.

Abstract

To reduce the cost of the monitoring system and improve the accuracy of bridge damage identification,this paper used limited sensors to obtain high-resolution modal shapes.Considering the road roughness,the damage identification method is proposed based on the flexibility change rate.In different road roughness levels,the proper orthogonal decomposition is used to analyze the displacement response measured on the bridge under moving vehicle loads to obtain the principal component matrix.High-resolution modal shapes can be obtained by filtering the high-frequency dynamic component information in the principal component matrix.The flexibility change rate is calculated using high-resolution modal shapes by limited sensors as an indicator for bridge damage localization.To verify the effectiveness of this method,simulation and experiments were conducted on a simply supported beam.The results show that this method can accurately detect damage by obtaining the flexibility change rate of high-resolution modal shapes based on limited sensors considering different road roughness levels.

关键词

损伤识别/高分辨率模态振型/少量传感器/路面粗糙度/柔度矩阵

Key words

damage identification/high-resolution modal shape/limited sensors/road roughness/flexibility matrix

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基金项目

国家自然科学基金资助项目(52178289)

广东省城市生命线工程智慧防灾与应急技术重点实验室资助项目(2022B1212010016)

出版年

2024
湖南大学学报(自然科学版)
湖南大学

湖南大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.651
ISSN:1674-2974
参考文献量3
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