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Reliability-Based Robust Design of Mechanical Components with Correlated Failure Modes Based on Moment Method

机译:基于矩量法的具有相关失效模式的机械零件基于可靠性的鲁棒设计

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摘要

There are usually several potential failure modes in mechanical components. The conventional model for the system analysis is built under the condition that all failure modes are independent of each other. However, in engineering practice, failure modes are mostly dependent due to the fact that the elements involved in each failure mode are closely interrelated. System reliability analysis and evaluation simply conducted under independent assumption often result in excessive errors or even wrong conclusion. A novel method to evaluate system reliability of mechanical components with multiple failure modes based on moment method are proposed here. Firstly, the moment-based reliability and reliability sensitivity analysis method is proposed with independent assumption. Secondly, the proposed method is deduced by taking the correlation between failure modes into account and the correlation model is established with the copula function, which is proved to be a useful tool to model nonlinear correlation with marginal distributions. The robust design is performed as a biobjection optimization process based on the reliability sensitivity. The numerical examples show that the applied procedure is able to efficiently consider various failure modes of mechanical components in probabilistic assessment and reliability-based optimization.
机译:机械组件中通常存在几种潜在的故障模式。在所有故障模式彼此独立的条件下,建立了用于系统分析的常规模型。但是,在工程实践中,由于每个故障模式中涉及的元素紧密相关,因此故障模式主要取决于。仅在独立假设下进行的系统可靠性分析和评估通常会导致过多的错误,甚至得出错误的结论。提出了一种基于矩量法的具有多种失效模式的机械零件系统可靠性评估方法。首先,在独立假设的基础上,提出了基于矩的可靠性和可靠性灵敏度分析方法。其次,通过考虑失效模式之间的相关性推导了所提出的方法,并利用copula函数建立了相关模型,证明了该模型是建模具有边际分布的非线性相关性的有用工具。基于可靠性敏感性,将稳健设计作为双向优化过程执行。数值算例表明,所应用的程序能够在概率评估和基于可靠性的优化中有效地考虑机械部件的各种失效模式。

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