{"title":"管道单一缺陷定量识别模式的瞬态数值模拟研究","authors":"Xinyuan Wang, Feng Zhou, Xiaoke Liu","doi":"10.1109/ICAICA52286.2021.9497979","DOIUrl":null,"url":null,"abstract":"It has been difficult to accurately identify and quantify the type and degree of pipeline defects from the results of pipeline magnetic flux leakage detection. Aiming at this problem, the numerical simulation method is used to study the pattern of quantitative identification of pipeline compound defects. According to the internal and external walls of the pipelines, the pipeline defects are decomposed into basic single damages. ,and the transient finite element simulation is used to analyze and summarize their characteristics and patterns. The results show that there is a direct correspondence between the peak and time span extracted from the results of magnetic flux leakage detection, which are used as the transient response characteristic signals, and the type and extent of defects.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Transient Numerical Simulation of Quantitative Identification Pattern of Pipeline Single Defect\",\"authors\":\"Xinyuan Wang, Feng Zhou, Xiaoke Liu\",\"doi\":\"10.1109/ICAICA52286.2021.9497979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It has been difficult to accurately identify and quantify the type and degree of pipeline defects from the results of pipeline magnetic flux leakage detection. Aiming at this problem, the numerical simulation method is used to study the pattern of quantitative identification of pipeline compound defects. According to the internal and external walls of the pipelines, the pipeline defects are decomposed into basic single damages. ,and the transient finite element simulation is used to analyze and summarize their characteristics and patterns. The results show that there is a direct correspondence between the peak and time span extracted from the results of magnetic flux leakage detection, which are used as the transient response characteristic signals, and the type and extent of defects.\",\"PeriodicalId\":121979,\"journal\":{\"name\":\"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICA52286.2021.9497979\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICA52286.2021.9497979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Transient Numerical Simulation of Quantitative Identification Pattern of Pipeline Single Defect
It has been difficult to accurately identify and quantify the type and degree of pipeline defects from the results of pipeline magnetic flux leakage detection. Aiming at this problem, the numerical simulation method is used to study the pattern of quantitative identification of pipeline compound defects. According to the internal and external walls of the pipelines, the pipeline defects are decomposed into basic single damages. ,and the transient finite element simulation is used to analyze and summarize their characteristics and patterns. The results show that there is a direct correspondence between the peak and time span extracted from the results of magnetic flux leakage detection, which are used as the transient response characteristic signals, and the type and extent of defects.