采用基于信号处理的创新方法，对类梁结构进行基于振动的健康监测和损伤检测：数值和实验研究

IF 3.9 2区工程技术 Q1 ENGINEERING, CIVIL

Structures Pub Date : 2024-09-03 DOI:10.1016/j.istruc.2024.107211

Mohtasham Khanahmadi, Borhan Mirzaei, Behzad Dezhkam, Omid Rezaifar, Majid Gholhaki, Gholamreza Ghodrati Amiri

{"title":"采用基于信号处理的创新方法，对类梁结构进行基于振动的健康监测和损伤检测：数值和实验研究","authors":"Mohtasham Khanahmadi, Borhan Mirzaei, Behzad Dezhkam, Omid Rezaifar, Majid Gholhaki, Gholamreza Ghodrati Amiri","doi":"10.1016/j.istruc.2024.107211","DOIUrl":null,"url":null,"abstract":"Beams and columns serve as foundational components within structures, bridges, and industrial machinery. Detecting even minor defects in these crucial elements before they escalate into more significant damage holds paramount importance. Employing an innovative methodology grounded in the two-dimensional discrete wavelet transform alongside curvature analysis, this study scrutinizes the one-dimensional mode shape signals extended to two-dimensional. More precisely, it introduces the Wavelet Expansion Index (WEI) and the Normalized Wavelet Discontinuity Index (NWDI) to effectively pinpoint various damage locations. Numerical and laboratory investigations demonstrate that fractures and discontinuities in the WEI graph and peaks arising from irregularities in the NWDI graph are generated. Consequently, damage locations are identified, such that using NWDI, damaged areas can be detected with an error of less than 4%.","PeriodicalId":48642,"journal":{"name":"Structures","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vibration-based health monitoring and damage detection in beam-like structures with innovative approaches based on signal processing: A numerical and experimental study\",\"authors\":\"Mohtasham Khanahmadi, Borhan Mirzaei, Behzad Dezhkam, Omid Rezaifar, Majid Gholhaki, Gholamreza Ghodrati Amiri\",\"doi\":\"10.1016/j.istruc.2024.107211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Beams and columns serve as foundational components within structures, bridges, and industrial machinery. Detecting even minor defects in these crucial elements before they escalate into more significant damage holds paramount importance. Employing an innovative methodology grounded in the two-dimensional discrete wavelet transform alongside curvature analysis, this study scrutinizes the one-dimensional mode shape signals extended to two-dimensional. More precisely, it introduces the Wavelet Expansion Index (WEI) and the Normalized Wavelet Discontinuity Index (NWDI) to effectively pinpoint various damage locations. Numerical and laboratory investigations demonstrate that fractures and discontinuities in the WEI graph and peaks arising from irregularities in the NWDI graph are generated. Consequently, damage locations are identified, such that using NWDI, damaged areas can be detected with an error of less than 4%.\",\"PeriodicalId\":48642,\"journal\":{\"name\":\"Structures\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structures\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.istruc.2024.107211\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structures","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.istruc.2024.107211","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}

引用次数: 0

摘要

梁和柱是结构、桥梁和工业机械的基础部件。在这些重要构件出现轻微缺陷之前将其检测出来，以避免其升级为更严重的损坏，具有极其重要的意义。本研究采用一种基于二维离散小波变换和曲率分析的创新方法，将一维模态振型信号扩展到二维。更确切地说，它引入了小波扩展指数（WEI）和归一化小波不连续指数（NWDI），以有效定位各种损伤位置。数值和实验室研究表明，在小波扩展指数图中会产生断裂和不连续性，在归一化小波不连续性指数图中会产生不规则峰值。因此，可以确定损坏位置，使用 NWDI 可以检测到损坏区域，误差小于 4%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Vibration-based health monitoring and damage detection in beam-like structures with innovative approaches based on signal processing: A numerical and experimental study

Beams and columns serve as foundational components within structures, bridges, and industrial machinery. Detecting even minor defects in these crucial elements before they escalate into more significant damage holds paramount importance. Employing an innovative methodology grounded in the two-dimensional discrete wavelet transform alongside curvature analysis, this study scrutinizes the one-dimensional mode shape signals extended to two-dimensional. More precisely, it introduces the Wavelet Expansion Index (WEI) and the Normalized Wavelet Discontinuity Index (NWDI) to effectively pinpoint various damage locations. Numerical and laboratory investigations demonstrate that fractures and discontinuities in the WEI graph and peaks arising from irregularities in the NWDI graph are generated. Consequently, damage locations are identified, such that using NWDI, damaged areas can be detected with an error of less than 4%.

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

Structures Engineering-Architecture

CiteScore

5.70

自引率

17.10%

发文量

1187

期刊介绍： Structures aims to publish internationally-leading research across the full breadth of structural engineering. Papers for Structures are particularly welcome in which high-quality research will benefit from wide readership of academics and practitioners such that not only high citation rates but also tangible industrial-related pathways to impact are achieved.