基于车桥信息传递熵的双传感器桥梁损伤检测

JuLei Zhu, Wen Cai
{"title":"基于车桥信息传递熵的双传感器桥梁损伤检测","authors":"JuLei Zhu, Wen Cai","doi":"10.32629/jbt.v3i1.604","DOIUrl":null,"url":null,"abstract":"An innovative damage identification method using only two sensors for damage detection of bridge based on transfer entropy of vehicle- bridge information is proposed in this article. In this method, a test vehicle passing through the bridge surface, and structural vibration acceleration responses at two measuring points are measured from two acceleration sensors, which one set on the bridge, and the other one set on the test vehicle. A fixed moving window is defined as a definitive length calculated by the sampling frequency and the fundamental frequency of the measured acceleration responses. The windowed pair time series extracted from the two measured acceleration responses that obtained from the bridge and the moving vehicle respectively are used to calculate the transfer entropy, which is used to define the new damage index. A simply supported beam bridge subjected to a test vehicle is simulated to verify the effectiveness and feasibility of this method. Numerical simulation results show that this method can accurately detect the damages under both single damage scenarios and multiple damage scenarios using acceleration responses obtained from bridge and moving vehicle. It indicates that the method proposed in this article has a promising application prospect in the field of bridge damage detection.","PeriodicalId":38108,"journal":{"name":"International Journal of Sustainable Building Technology and Urban Development","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using Two Sensors for Damage Detection of Bridge Based on Transfer Entropy of Vehicle-bridge Information\",\"authors\":\"JuLei Zhu, Wen Cai\",\"doi\":\"10.32629/jbt.v3i1.604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An innovative damage identification method using only two sensors for damage detection of bridge based on transfer entropy of vehicle- bridge information is proposed in this article. In this method, a test vehicle passing through the bridge surface, and structural vibration acceleration responses at two measuring points are measured from two acceleration sensors, which one set on the bridge, and the other one set on the test vehicle. A fixed moving window is defined as a definitive length calculated by the sampling frequency and the fundamental frequency of the measured acceleration responses. The windowed pair time series extracted from the two measured acceleration responses that obtained from the bridge and the moving vehicle respectively are used to calculate the transfer entropy, which is used to define the new damage index. A simply supported beam bridge subjected to a test vehicle is simulated to verify the effectiveness and feasibility of this method. Numerical simulation results show that this method can accurately detect the damages under both single damage scenarios and multiple damage scenarios using acceleration responses obtained from bridge and moving vehicle. It indicates that the method proposed in this article has a promising application prospect in the field of bridge damage detection.\",\"PeriodicalId\":38108,\"journal\":{\"name\":\"International Journal of Sustainable Building Technology and Urban Development\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sustainable Building Technology and Urban Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32629/jbt.v3i1.604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Building Technology and Urban Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32629/jbt.v3i1.604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

摘要

提出了一种基于车桥信息传递熵的双传感器桥梁损伤识别方法。该方法中,测试车辆通过桥梁表面,两个测点处的结构振动加速度响应由安装在桥梁上和安装在测试车辆上的两个加速度传感器测量。一个固定的移动窗口被定义为由采样频率和被测加速度响应的基频计算的确定长度。分别从桥梁和移动车辆的两次加速度响应中提取的窗对时间序列用于计算传递熵,并用于定义新的损伤指标。通过试验车辆对某简支梁桥进行仿真,验证了该方法的有效性和可行性。数值仿真结果表明,该方法能够准确地检测出桥梁和移动车辆的加速度响应,无论是在单一损伤情况下,还是在多种损伤情况下。表明本文提出的方法在桥梁损伤检测领域具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Using Two Sensors for Damage Detection of Bridge Based on Transfer Entropy of Vehicle-bridge Information
An innovative damage identification method using only two sensors for damage detection of bridge based on transfer entropy of vehicle- bridge information is proposed in this article. In this method, a test vehicle passing through the bridge surface, and structural vibration acceleration responses at two measuring points are measured from two acceleration sensors, which one set on the bridge, and the other one set on the test vehicle. A fixed moving window is defined as a definitive length calculated by the sampling frequency and the fundamental frequency of the measured acceleration responses. The windowed pair time series extracted from the two measured acceleration responses that obtained from the bridge and the moving vehicle respectively are used to calculate the transfer entropy, which is used to define the new damage index. A simply supported beam bridge subjected to a test vehicle is simulated to verify the effectiveness and feasibility of this method. Numerical simulation results show that this method can accurately detect the damages under both single damage scenarios and multiple damage scenarios using acceleration responses obtained from bridge and moving vehicle. It indicates that the method proposed in this article has a promising application prospect in the field of bridge damage detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: The International Journal of Sustainable Building Technology and Urban Development is the official publication of the Sustainable Building Research Center and serves as a resource to professionals and academics within the architecture and sustainability community. The International Journal of Sustainable Building Technology and Urban Development aims to support its academic community by disseminating studies on sustainable building technology, focusing on issues related to sustainable approaches in the construction industry to reduce waste and mass consumption, integration of advanced architectural technologies and environmentalism, sustainable building maintenance, life cycle cost (LCC), social issues, education and public policies relating to urban development and architecture .
期刊最新文献
Integrating Environmental Phenomena in the Initial Architecture Studio: Reflections on Modeling of Convective Currents in Living Spaces Study of Variants of Housing Buildings of Masonry Reinforced at Seismic Zones Influence of the Dead Loads in the Seismic Design of Ductile Frames of Reinforced Concrete Theory in Architectural Restoration - Concept and Object Geotechnical Zoning for the Construction of an Irrigation District in the Department of Atlántico - Colombia
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1