Efficient Reliability Analysis and Reliability-Based Design Optimization of Mechanical Systems by Using Latin Hypercube Sampling

Year 2018, Volume: 5 Issue: 1, 31 - 36, 26.03.2018

Murat Mayda

Abstract

Considering uncertainty in
engineering design is computationally more expensive than solving traditional
deterministic problems. This challenge force researches to search for more
efficient methods. For that purpose, in this work, the superiority of the LHS
over MCS in the process of reliability analysis and RBDO of a mechanical system
is investigated. Accordingly, the reliability analysis and RBDO process with
both LHS and MCS is implemented separately on the tension-compression spring
design problem. According to these results, in both reliability analysis and
RBDO process, LHS was more stable in convergence compared to MCS. Moreover, LHS
can be considered to be more efficient than MCS in RBDO of the spring problem. 

Keywords

Reliability analysis, Design optimization, Uncertainty, LHS

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