Reliability-Based Robust Design for Mechanical Components under Small-Sample Information

Xiang Dong He; Jia Peng Chu

doi:10.4028/www.scientific.net/AMM.215-216.804

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 215-216Reliability-Based Robust Design for Mechanical...

Reliability-Based Robust Design for Mechanical Components under Small-Sample Information

Abstract:

In engineering design, according to not considering past experience information; hence, to make structure parameters for achieving high confidence level, much data for traditional reliability-based robust design must be adequately collected, analyzed, and tested. However, in practical engineering, it is very difficult for doing much test, only for getting in the form of finite test samples. Under the conditions, it has much difficult for the traditional reliability-based robust design. In the article, we present a new reliability-based robust design method that solves the form of incomplete information. The method adopts a Bayesian inference technique to estimate reliability, gives definition of Bayesian reliability. In the research, the mechanical parts bayesian reliability-based robust design mathematical model is established and the bayesian reliability-based robust design approach is presented. The numerical results illustrates the method presented is an efficient and practical reliability-based robust design approach.

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Periodical:

Applied Mechanics and Materials (Volumes 215-216)

Pages:

804-807

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.215-216.804

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Online since:

November 2012

Authors:

Xiang Dong He, Jia Peng Chu

Keywords:

Bayesian Theory, Finite Samples, Reliability-Based Robust Design, Reliability-Based Sensitivity Design

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