{"title":"基于CMR和固有频率的BP神经网络裂纹损伤检测","authors":"Mingjun Liu, Li Li, Xiuyang Zhao, H. Liu","doi":"10.1109/ICFN.2010.38","DOIUrl":null,"url":null,"abstract":"In this paper a new approach based curvature mode ratio (CMR) and natural frequency with BP neutral network for crack injury detection is proposed. Taking a simple cantilever beam with multiple damage and perfect structure as study object, injury indices are gained by way of analysis the merit and drawback of natural frequency and the curvature mode, then use BP neutral network training tests that regards the natural frequency, the amount of the frequency relative decline and the first-order maximum CMR as the input parameter, crack location and injury degree as the output parameter. The simulated results confirm that the method can be very well applied to the crack damage identification.","PeriodicalId":185491,"journal":{"name":"2010 Second International Conference on Future Networks","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Crack Injury Detection Based CMR and Natural Frequency with BP Neutral Network\",\"authors\":\"Mingjun Liu, Li Li, Xiuyang Zhao, H. Liu\",\"doi\":\"10.1109/ICFN.2010.38\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a new approach based curvature mode ratio (CMR) and natural frequency with BP neutral network for crack injury detection is proposed. Taking a simple cantilever beam with multiple damage and perfect structure as study object, injury indices are gained by way of analysis the merit and drawback of natural frequency and the curvature mode, then use BP neutral network training tests that regards the natural frequency, the amount of the frequency relative decline and the first-order maximum CMR as the input parameter, crack location and injury degree as the output parameter. The simulated results confirm that the method can be very well applied to the crack damage identification.\",\"PeriodicalId\":185491,\"journal\":{\"name\":\"2010 Second International Conference on Future Networks\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Future Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFN.2010.38\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Future Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFN.2010.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Crack Injury Detection Based CMR and Natural Frequency with BP Neutral Network
In this paper a new approach based curvature mode ratio (CMR) and natural frequency with BP neutral network for crack injury detection is proposed. Taking a simple cantilever beam with multiple damage and perfect structure as study object, injury indices are gained by way of analysis the merit and drawback of natural frequency and the curvature mode, then use BP neutral network training tests that regards the natural frequency, the amount of the frequency relative decline and the first-order maximum CMR as the input parameter, crack location and injury degree as the output parameter. The simulated results confirm that the method can be very well applied to the crack damage identification.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
