复合材料疲劳寿命概率预测

Y. Liu, S. Mahadevan
{"title":"复合材料疲劳寿命概率预测","authors":"Y. Liu, S. Mahadevan","doi":"10.1533/9781845699796.2.220","DOIUrl":null,"url":null,"abstract":"Abstract This chapter discusses the use of probabilistic models to describe the fatigue behavior of composite materials and to quantify the uncertainties in fatigue life prediction. The chapter first reviews existing methods for probabilistic fatigue life prediction and then discusses how to quantify the uncertainties in applied loading and material properties. Following this, a random process approach using the Karhunen-Loeve expansion technique is discussed to quantify the input uncertainties as well as their correlations. Probabilistic methods are presented to solve the time-dependent reliability problem. The probabilistic life prediction method is demonstrated under variable amplitude loading for several example problems.","PeriodicalId":319726,"journal":{"name":"Fatigue Life Prediction of Composites and Composite Structures","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Probabilistic fatigue life prediction of composite materials\",\"authors\":\"Y. Liu, S. Mahadevan\",\"doi\":\"10.1533/9781845699796.2.220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This chapter discusses the use of probabilistic models to describe the fatigue behavior of composite materials and to quantify the uncertainties in fatigue life prediction. The chapter first reviews existing methods for probabilistic fatigue life prediction and then discusses how to quantify the uncertainties in applied loading and material properties. Following this, a random process approach using the Karhunen-Loeve expansion technique is discussed to quantify the input uncertainties as well as their correlations. Probabilistic methods are presented to solve the time-dependent reliability problem. The probabilistic life prediction method is demonstrated under variable amplitude loading for several example problems.\",\"PeriodicalId\":319726,\"journal\":{\"name\":\"Fatigue Life Prediction of Composites and Composite Structures\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fatigue Life Prediction of Composites and Composite Structures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1533/9781845699796.2.220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fatigue Life Prediction of Composites and Composite Structures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1533/9781845699796.2.220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

摘要本章讨论了利用概率模型来描述复合材料的疲劳行为,并对疲劳寿命预测中的不确定性进行量化。本章首先回顾了概率疲劳寿命预测的现有方法,然后讨论了如何量化应用载荷和材料性能中的不确定性。在此之后,讨论了一种随机过程方法,使用Karhunen-Loeve展开技术来量化输入不确定性及其相关性。提出了求解时变可靠性问题的概率方法。通过实例验证了变幅载荷下的概率寿命预测方法。
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
Probabilistic fatigue life prediction of composite materials
Abstract This chapter discusses the use of probabilistic models to describe the fatigue behavior of composite materials and to quantify the uncertainties in fatigue life prediction. The chapter first reviews existing methods for probabilistic fatigue life prediction and then discusses how to quantify the uncertainties in applied loading and material properties. Following this, a random process approach using the Karhunen-Loeve expansion technique is discussed to quantify the input uncertainties as well as their correlations. Probabilistic methods are presented to solve the time-dependent reliability problem. The probabilistic life prediction method is demonstrated under variable amplitude loading for several example problems.
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
期刊最新文献
Residual strength fatigue theories for composite materials Copyright Phenomenological fatigue analysis and life modeling Index A progressive damage mechanics algorithm for life prediction of composite materials under cyclic complex stress
×
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