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Balanced Latin Hypercube Sampling for Stochastic Simulations of Spot Welds
Technical Paper
2004-01-1534
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In performing stochastic simulations using computer models, the method of sampling is important. It affects the quality and the convergence speed of the results. This paper discusses one special case: sampling of spot-weld locations from potentially thousands of spot welds on a vehicle body. This study is prompted by the need of evaluating the effect of missed spot welds on the structural integrity, identifying critical welds, and optimizing weld locations.
A balanced random sampling algorithm based on the concept of Latin-Hypercube sampling is developed for this application. We also present a case study in which the efficiency of three different sampling methods is compared using a car joint stiffness example. The new method, called the Balanced Latin-Hypercube Sampling (BLHS), has shown significantly faster convergence over the other two.
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Citation
Kale, S. and Ding, X., "Balanced Latin Hypercube Sampling for Stochastic Simulations of Spot Welds," SAE Technical Paper 2004-01-1534, 2004, https://doi.org/10.4271/2004-01-1534.Also In
References
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