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DOE OSTI · 1248295

Module-based Hybrid Uncertainty Quantification for Multi-physics Applications: Theory and Software

Tong, Charles·Chen, Xiao·Iaccarino, Gianluca·Mittal, Akshay
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Abstract

In this project we proposed to develop an innovative uncertainty quantification methodology that captures the best of the two competing approaches in UQ, namely, intrusive and non-intrusive approaches. The idea is to develop the mathematics and the associated computational framework and algorithms to facilitate the use of intrusive or non-intrusive UQ methods in different modules of a multi-physics multi-module simulation model in a way that physics code developers for different modules are shielded (as much as possible) from the chores of accounting for the uncertain ties introduced by the other modules. As the result of our research and development, we have produced a number of publications, conference presentations, and a software product.

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97 MATHEMATICS AND COMPUTING

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Tong, Charles, Chen, Xiao, Iaccarino, Gianluca, Mittal, Akshay. 2013-10-08. Module-based Hybrid Uncertainty Quantification for Multi-physics Applications: Theory and Software. https://doi.org/10.2172/1248295

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