A study on uncertainty analysis of fatigue reliability

Yong Tang, Mingzhang Li, Ningbo Liu, Shun‐Peng Zhu, Hongzhong Huang
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引用次数: 0

Abstract

Engineering experience reminds us of the importance of uncertainty analysis in fatigue reliability based design. In the present paper, according to the procedure of fatigue reliability analysis, parameter uncertainty and model uncertainty are studied and the corresponding solutions are reviewed. The aim of parameter uncertainty analysis is to obtain reliability index to quantify uncertainties imported by parameters. The current research focuses on defining reliability index and putting forward different methods to handle different variable expressions (random, convex, fuzzy set). Different from parameter uncertainty analysis, model uncertainty analysis can reduce uncertainties imported by model by modifying model structure or selecting best model. In application, both methods can effectively quantify and reduce uncertainty. The development on both methods will contribute to understanding fatigue process and its causes.
疲劳可靠性的不确定性分析研究
工程经验提醒我们,不确定性分析在疲劳可靠性设计中的重要性。本文根据疲劳可靠性分析的程序,研究了参数不确定性和模型不确定性,并给出了相应的解决方法。参数不确定度分析的目的是获得可靠度指标,以量化参数引入的不确定度。目前的研究重点是定义可靠度指标,并针对不同的变量表达式(随机、凸、模糊集合)提出不同的处理方法。与参数不确定性分析不同,模型不确定性分析可以通过修改模型结构或选择最佳模型来减少模型引入的不确定性。在实际应用中,两种方法都能有效地量化和减少不确定性。这两种方法的发展将有助于理解疲劳过程及其原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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