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An Integrated Stochastic Design Framework Using Cross-Validated Multivariate Metamodeling Methods
Technical Paper
2003-01-0876
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
An integrated stochastic design framework that facilitates practical applications involving time-consuming CAE simulations is described. The probabilistic performance measure that addresses stochastic uncertainties in CAE modeling and simulations is used to support design decision-making. Two enabling metamodeling methods using cross-validated radial basis functions (CVRBF) and a corresponding uniform sampling method are introduced to approximate highly nonlinear CAE model input/output relationships. A vehicle restraint system example is used to demonstrate the effectiveness of the proposed framework and enabling techniques.
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Citation
Tu, J. and Cheng, Y., "An Integrated Stochastic Design Framework Using Cross-Validated Multivariate Metamodeling Methods," SAE Technical Paper 2003-01-0876, 2003, https://doi.org/10.4271/2003-01-0876.Also In
Reliability & Robust Design in Automotive Engineering on CD-ROM
Number: SP-1736CD; Published: 2003-03-03
Number: SP-1736CD; Published: 2003-03-03
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