使用嵌入式和智能探针式压电传感器识别氯离子诱导腐蚀下预应力混凝土梁的结构参数

Q4 Engineering Measurement Sensors Pub Date : 2024-07-19 DOI:10.1016/j.measen.2024.101284
Tushar Bansal , Visalakshi Talakokula , T. Jothi Saravanan
{"title":"使用嵌入式和智能探针式压电传感器识别氯离子诱导腐蚀下预应力混凝土梁的结构参数","authors":"Tushar Bansal ,&nbsp;Visalakshi Talakokula ,&nbsp;T. Jothi Saravanan","doi":"10.1016/j.measen.2024.101284","DOIUrl":null,"url":null,"abstract":"<div><p>In prestressed concrete (PSC) structures, corrosion in prestressing wire is one of the main problems affecting its service life. Therefore, structural health monitoring (SHM) is essential for performance evaluation and safety maintenance to prevent and reduce engineering accidents. In SHM, corrosion monitoring using the piezo sensor-based electro-mechanical impedance (EMI) technique has become a research hotspot. This paper presents the effectiveness of embedded and smart-probe-based piezo sensors (SPPS) for identifying structural parameters such as stiffness, mass, and damping in a prestressed concrete beam subjected to chloride-induced corrosion using electro-mechanical impedance (EMI) technique. The accelerated corrosion tests were conducted on a PSC beam in which SPPS was indirectly bonded, and an embedded piezo sensor (EPS) was attached to the prestressing wire inside the beam to monitor the variation in the EMI signature during the exposure of corrosion. Further, a physical model was developed in the form of spring, mass, and damper combinations to identify the deterioration in terms of structural parameters during exposure to corrosion. Based on the experimental results, it is found that EPS is effective in identifying the corrosion initiation phase, while SPPS is for the corrosion propagation and cracking phase. In terms of percentage loss, the identified stiffness loss from SPPS and EPS in the propagation phase of corrosion is about 61.56 % and 5 %, respectively.</p></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"35 ","pages":"Article 101284"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665917424002605/pdfft?md5=86b9f9836e54a28540a69f7cbd70d00b&pid=1-s2.0-S2665917424002605-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Identification of structural parameters in a prestressed concrete beam under chloride-induced corrosion using embedded and smart-probe-based piezo sensors\",\"authors\":\"Tushar Bansal ,&nbsp;Visalakshi Talakokula ,&nbsp;T. Jothi Saravanan\",\"doi\":\"10.1016/j.measen.2024.101284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In prestressed concrete (PSC) structures, corrosion in prestressing wire is one of the main problems affecting its service life. Therefore, structural health monitoring (SHM) is essential for performance evaluation and safety maintenance to prevent and reduce engineering accidents. In SHM, corrosion monitoring using the piezo sensor-based electro-mechanical impedance (EMI) technique has become a research hotspot. This paper presents the effectiveness of embedded and smart-probe-based piezo sensors (SPPS) for identifying structural parameters such as stiffness, mass, and damping in a prestressed concrete beam subjected to chloride-induced corrosion using electro-mechanical impedance (EMI) technique. The accelerated corrosion tests were conducted on a PSC beam in which SPPS was indirectly bonded, and an embedded piezo sensor (EPS) was attached to the prestressing wire inside the beam to monitor the variation in the EMI signature during the exposure of corrosion. Further, a physical model was developed in the form of spring, mass, and damper combinations to identify the deterioration in terms of structural parameters during exposure to corrosion. Based on the experimental results, it is found that EPS is effective in identifying the corrosion initiation phase, while SPPS is for the corrosion propagation and cracking phase. In terms of percentage loss, the identified stiffness loss from SPPS and EPS in the propagation phase of corrosion is about 61.56 % and 5 %, respectively.</p></div>\",\"PeriodicalId\":34311,\"journal\":{\"name\":\"Measurement Sensors\",\"volume\":\"35 \",\"pages\":\"Article 101284\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2665917424002605/pdfft?md5=86b9f9836e54a28540a69f7cbd70d00b&pid=1-s2.0-S2665917424002605-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement Sensors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2665917424002605\",\"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":"Measurement Sensors","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665917424002605","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: 0

摘要

在预应力混凝土(PSC)结构中,预应力钢丝的腐蚀是影响其使用寿命的主要问题之一。因此,结构健康监测(SHM)对于性能评估和安全维护以防止和减少工程事故至关重要。在 SHM 中,使用基于压电传感器的机电阻抗(EMI)技术进行腐蚀监测已成为研究热点。本文介绍了嵌入式和基于智能探针的压电传感器(SPPS)在使用机电阻抗(EMI)技术识别受氯化物诱导腐蚀的预应力混凝土梁的刚度、质量和阻尼等结构参数方面的有效性。加速腐蚀试验是在间接粘结了 SPPS 的 PSC 梁上进行的,并在梁内的预应力钢丝上安装了嵌入式压电传感器(EPS),以监测腐蚀过程中 EMI 信号的变化。此外,还以弹簧、质量和阻尼器组合的形式开发了一个物理模型,以确定暴露于腐蚀过程中结构参数的劣化情况。根据实验结果发现,EPS 能有效识别腐蚀的起始阶段,而 SPPS 则能识别腐蚀的扩展和开裂阶段。按损失百分比计算,在腐蚀扩展阶段,SPPS 和 EPS 识别出的刚度损失分别约为 61.56 % 和 5 %。
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
Identification of structural parameters in a prestressed concrete beam under chloride-induced corrosion using embedded and smart-probe-based piezo sensors

In prestressed concrete (PSC) structures, corrosion in prestressing wire is one of the main problems affecting its service life. Therefore, structural health monitoring (SHM) is essential for performance evaluation and safety maintenance to prevent and reduce engineering accidents. In SHM, corrosion monitoring using the piezo sensor-based electro-mechanical impedance (EMI) technique has become a research hotspot. This paper presents the effectiveness of embedded and smart-probe-based piezo sensors (SPPS) for identifying structural parameters such as stiffness, mass, and damping in a prestressed concrete beam subjected to chloride-induced corrosion using electro-mechanical impedance (EMI) technique. The accelerated corrosion tests were conducted on a PSC beam in which SPPS was indirectly bonded, and an embedded piezo sensor (EPS) was attached to the prestressing wire inside the beam to monitor the variation in the EMI signature during the exposure of corrosion. Further, a physical model was developed in the form of spring, mass, and damper combinations to identify the deterioration in terms of structural parameters during exposure to corrosion. Based on the experimental results, it is found that EPS is effective in identifying the corrosion initiation phase, while SPPS is for the corrosion propagation and cracking phase. In terms of percentage loss, the identified stiffness loss from SPPS and EPS in the propagation phase of corrosion is about 61.56 % and 5 %, respectively.

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
Measurement Sensors
Measurement Sensors Engineering-Industrial and Manufacturing Engineering
CiteScore
3.10
自引率
0.00%
发文量
184
审稿时长
56 days
期刊最新文献
Augmented and virtual reality based segmentation algorithm for human pose detection in wearable cameras Exploring EEG-Based biomarkers for improved early Alzheimer's disease detection: A feature-based approach utilizing machine learning Deep learning model for smart wearables device to detect human health conduction Review and analysis on numerical simulation and compact modeling of InGaZno thin-film transistor for display SENSOR applications Artificial intelligence and IoT driven system architecture for municipality waste management in smart cities: A review
×
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