A Flexible Uncertainty Quantification Framework for General Multi-Physics Systems
Abstract
We present a "module-based hybrid" Uncertainty Quantification (UQ) framework for general nonlinear multi-physics simulation. The proposed methodology, introduced in [\hyperlink{ref1}{1}], supports the independent development of each \emph{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.
Cite
@article{arxiv.1410.5316,
title = {A Flexible Uncertainty Quantification Framework for General Multi-Physics Systems},
author = {Akshay Mittal and Xiao Chen and Charles Tong and Gianluca Iaccarino},
journal= {arXiv preprint arXiv:1410.5316},
year = {2014}
}