A Flexible Uncertainty Quantification Framework for General Multi-Physics Systems

2014/10/20 by Mittal, Akshay, Chen, Xiao, Tong, Charles +1
#Computational Physics (physics.comp-ph) #FOS: Physical sciences

paper · doi:10.48550/arxiv.1410.5316

Abstract

We present a "module-based hybrid" Uncertainty Quantification (UQ) framework for general nonlinear multi-physics simulation. The proposed methodology, introduced in [\hyperlinkref11], supports the independent development of each stochastic linear or nonlinear physics module equipped with the most suitable probabilistic UQ method: non-intrusive, semi-intrusive or intrusive; and provides a generic framework to couple these stochastic simulation components. Moreover, the methodology is illustrated using a common "global" uncertainty representation scheme based on generalized polynomial chaos (gPC) expansions of inputs and outputs. By using thermally-driven cavity flow as the multi-physics model problem, we demonstrate the utility of our framework and report the computational gains achieved.

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