通过运行模态分析检测复合材料和塑料薄壁梁的损伤:实验评估

IF 5.3 Q2 MATERIALS SCIENCE, COMPOSITES
Josué Pacheco-Chérrez , Manuel Aenlle , Pelayo Fernández , Carlos Colchero , Oliver Probst
{"title":"通过运行模态分析检测复合材料和塑料薄壁梁的损伤:实验评估","authors":"Josué Pacheco-Chérrez ,&nbsp;Manuel Aenlle ,&nbsp;Pelayo Fernández ,&nbsp;Carlos Colchero ,&nbsp;Oliver Probst","doi":"10.1016/j.jcomc.2024.100542","DOIUrl":null,"url":null,"abstract":"<div><div>The detection and localization of different damage features in thin-wall beam composite and plastic beams using Operational Modal Analysis (OMA) has been demonstrated experimentally. The detection of small damage features using modal analysis techniques is an emerging field, with few experimental OMA-based assessments having been reported so far. The proposed method is based on OMA combined with Stochastic Subspace Identification (SSI) and the enhancement of damage features by Continuous Wavelet Transforms (CWT). A composite thin-wall beam (CTWB) structure in two measurement configurations and a PVC tube in a free-free configuration have been tested. Damage features detected include extra masses attached to the beam, with a range from 9.5 % to 14.0 % of the beam mass, and small cracks perpendicular to the beam axis with lengths of about 4 % of the perimeter of the cross section. Calibration curves relating the strength of the damage signal with the weight of the attached masses have been constructed. Two simultaneous cracks or two masses could be detected as well. The quantification and localization of damage feature along the beam was possible through the use of Gaussian fit surface applied to damage maps obtained with the CWT technique. The width of the Gaussian fit curve was of the order of the distance between accelerometers, but the accuracy, estimated to be around 3 % of the beam length, was found to have sub-grid resolution. The proposed method was shown to work reliably with a relatively coarse measurement grid, potentially allowing for cost-effective Structural Health Monitoring (SHM) approaches.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"15 ","pages":"Article 100542"},"PeriodicalIF":5.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Damage detection in composite and plastic thin-wall beams by operational modal analysis: An experimental assessment\",\"authors\":\"Josué Pacheco-Chérrez ,&nbsp;Manuel Aenlle ,&nbsp;Pelayo Fernández ,&nbsp;Carlos Colchero ,&nbsp;Oliver Probst\",\"doi\":\"10.1016/j.jcomc.2024.100542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The detection and localization of different damage features in thin-wall beam composite and plastic beams using Operational Modal Analysis (OMA) has been demonstrated experimentally. The detection of small damage features using modal analysis techniques is an emerging field, with few experimental OMA-based assessments having been reported so far. The proposed method is based on OMA combined with Stochastic Subspace Identification (SSI) and the enhancement of damage features by Continuous Wavelet Transforms (CWT). A composite thin-wall beam (CTWB) structure in two measurement configurations and a PVC tube in a free-free configuration have been tested. Damage features detected include extra masses attached to the beam, with a range from 9.5 % to 14.0 % of the beam mass, and small cracks perpendicular to the beam axis with lengths of about 4 % of the perimeter of the cross section. Calibration curves relating the strength of the damage signal with the weight of the attached masses have been constructed. Two simultaneous cracks or two masses could be detected as well. The quantification and localization of damage feature along the beam was possible through the use of Gaussian fit surface applied to damage maps obtained with the CWT technique. The width of the Gaussian fit curve was of the order of the distance between accelerometers, but the accuracy, estimated to be around 3 % of the beam length, was found to have sub-grid resolution. The proposed method was shown to work reliably with a relatively coarse measurement grid, potentially allowing for cost-effective Structural Health Monitoring (SHM) approaches.</div></div>\",\"PeriodicalId\":34525,\"journal\":{\"name\":\"Composites Part C Open Access\",\"volume\":\"15 \",\"pages\":\"Article 100542\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Composites Part C Open Access\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666682024001117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, COMPOSITES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composites Part C Open Access","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666682024001117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
引用次数: 0

摘要

实验证明,使用运行模态分析(OMA)可以检测和定位薄壁梁复合材料和塑料梁中的不同损伤特征。使用模态分析技术检测微小损伤特征是一个新兴领域,迄今为止,基于运行模态分析的实验评估报告寥寥无几。所提出的方法基于 OMA 与随机子空间识别 (SSI) 的结合,并通过连续小波变换 (CWT) 增强损伤特征。测试了两种测量配置下的复合薄壁梁(CTWB)结构和自由配置下的 PVC 管。检测到的损伤特征包括附着在梁上的额外质量(占梁质量的 9.5% 到 14.0%),以及垂直于梁轴线的小裂缝(长度约为横截面周长的 4%)。已构建出损伤信号强度与所附质量重量的校准曲线。还可以同时检测到两条裂缝或两个质量块。通过将高斯拟合曲面应用于利用 CWT 技术获得的损伤图,可以对梁上的损伤特征进行量化和定位。高斯拟合曲线的宽度与加速度计之间的距离相当,但精度估计约为梁长度的 3%,具有亚网格分辨率。结果表明,所提出的方法可以在相对较粗的测量网格中可靠地工作,从而有可能实现具有成本效益的结构健康监测(SHM)方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Damage detection in composite and plastic thin-wall beams by operational modal analysis: An experimental assessment
The detection and localization of different damage features in thin-wall beam composite and plastic beams using Operational Modal Analysis (OMA) has been demonstrated experimentally. The detection of small damage features using modal analysis techniques is an emerging field, with few experimental OMA-based assessments having been reported so far. The proposed method is based on OMA combined with Stochastic Subspace Identification (SSI) and the enhancement of damage features by Continuous Wavelet Transforms (CWT). A composite thin-wall beam (CTWB) structure in two measurement configurations and a PVC tube in a free-free configuration have been tested. Damage features detected include extra masses attached to the beam, with a range from 9.5 % to 14.0 % of the beam mass, and small cracks perpendicular to the beam axis with lengths of about 4 % of the perimeter of the cross section. Calibration curves relating the strength of the damage signal with the weight of the attached masses have been constructed. Two simultaneous cracks or two masses could be detected as well. The quantification and localization of damage feature along the beam was possible through the use of Gaussian fit surface applied to damage maps obtained with the CWT technique. The width of the Gaussian fit curve was of the order of the distance between accelerometers, but the accuracy, estimated to be around 3 % of the beam length, was found to have sub-grid resolution. The proposed method was shown to work reliably with a relatively coarse measurement grid, potentially allowing for cost-effective Structural Health Monitoring (SHM) approaches.
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
Composites Part C Open Access
Composites Part C Open Access Engineering-Mechanical Engineering
CiteScore
8.60
自引率
2.40%
发文量
96
审稿时长
55 days
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信