| 注册
首页|期刊导航|湖南大学学报(自然科学版)|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

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

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):127-136,10.
湖南大学学报(自然科学版)2024,Vol.51Issue(7):127-136,10.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

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

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

分类

信息技术与安全科学

引用本文复制引用

马宏伟,郑晓杰,夏子立,闫禹,聂振华..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[J].湖南大学学报(自然科学版),2024,51(7):127-136,10.

基金项目

国家自然科学基金资助项目(52178289),National Natural Science Foundation of China(52178289) (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),Guangdong Provincial Key Laboratory of Intelligent Disaster Prevention and Emergency Technologies for Urban Lifeline Engineering(2022B1212010016) (2022B1212010016)

湖南大学学报(自然科学版)

OA北大核心CSTPCD

1674-2974

访问量0
|
下载量0
段落导航相关论文