用于预测机械部件和结构剩余疲劳寿命的新型疲劳损伤传感器

Halit Kaplan
{"title":"用于预测机械部件和结构剩余疲劳寿命的新型疲劳损伤传感器","authors":"Halit Kaplan","doi":"10.1061/(ASCE)ST.1943-541X.0003109","DOIUrl":null,"url":null,"abstract":"AbstractIn this paper, a novel Internet of Things (IoT) fatigue damage sensor is presented to predict the fatigue damage accumulation level and residual fatigue life of critical mechanical and stru...","PeriodicalId":17068,"journal":{"name":"Journal of Structural Engineering-asce","volume":"68 1","pages":"04021158"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Novel Fatigue-Damage Sensor for Prediction of Remaining Fatigue Lifetime of Mechanical Components and Structures\",\"authors\":\"Halit Kaplan\",\"doi\":\"10.1061/(ASCE)ST.1943-541X.0003109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractIn this paper, a novel Internet of Things (IoT) fatigue damage sensor is presented to predict the fatigue damage accumulation level and residual fatigue life of critical mechanical and stru...\",\"PeriodicalId\":17068,\"journal\":{\"name\":\"Journal of Structural Engineering-asce\",\"volume\":\"68 1\",\"pages\":\"04021158\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Structural Engineering-asce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1061/(ASCE)ST.1943-541X.0003109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Structural Engineering-asce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/(ASCE)ST.1943-541X.0003109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

提出了一种新型的物联网(IoT)疲劳损伤传感器,用于预测关键机械和结构部件的疲劳损伤累积水平和剩余疲劳寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Fatigue-Damage Sensor for Prediction of Remaining Fatigue Lifetime of Mechanical Components and Structures
AbstractIn this paper, a novel Internet of Things (IoT) fatigue damage sensor is presented to predict the fatigue damage accumulation level and residual fatigue life of critical mechanical and stru...
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信