{"title":"矩形缺口截面积损失率的智能磁致伸缩测量技术","authors":"Zhihui Zhou, Donglai Zhang, Jinping Sun, Enchao Zhang, Shimin Pan, Anshou Li","doi":"10.1109/CIVEMSA.2015.7158592","DOIUrl":null,"url":null,"abstract":"Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Intelligent magnetostrictive measurement technology for loss rate of cross-sectional area of rectangular notch\",\"authors\":\"Zhihui Zhou, Donglai Zhang, Jinping Sun, Enchao Zhang, Shimin Pan, Anshou Li\",\"doi\":\"10.1109/CIVEMSA.2015.7158592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.\",\"PeriodicalId\":348918,\"journal\":{\"name\":\"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"volume\":\"289 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIVEMSA.2015.7158592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIVEMSA.2015.7158592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent magnetostrictive measurement technology for loss rate of cross-sectional area of rectangular notch
Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.