Abstract. We present a “module-based hybrid ” Uncertainty Quantification (UQ) framework for general non-linear multi-physics simulation. The proposed methodology, introduced in [1], supports the inde-pendent 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 illus-trated 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 frame...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
Uncertainty quantification is a rapidly growing field in computer simulation-based scientific applic...
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and ...
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the...
Uncertainty quantification (UQ) is the process of quantitative characterization and propagation of i...
This is a collaborative proposal that aims to establish theoretical foundations and computational to...
Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and ap...
The objective of the study described in this paper was to develop an efficient uncertainty quantific...
Uncertainty quantication (UQ) is the process of quantitative characterization and prop-agation of in...
We consider Uncertainty Quantification (UQ) by expanding the solution in so-called generalized Polyn...
multiUQ is a novel tool that simulates gas-liquid multiphase flows and quantifies uncertainty in res...
Uncertainty quantification (UQ) is a key component when using computational models that involve unce...
Abstract. Multi-physics models governed by coupled partial differential equation (PDE) systems, are ...
A technique for coupling an intrusive and non-intrusive uncertainty quantification method is propose...
Uncertainty Quantification (UQ) of numerical simulations is highly relevant in the study and design ...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
Uncertainty quantification is a rapidly growing field in computer simulation-based scientific applic...
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and ...
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the...
Uncertainty quantification (UQ) is the process of quantitative characterization and propagation of i...
This is a collaborative proposal that aims to establish theoretical foundations and computational to...
Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and ap...
The objective of the study described in this paper was to develop an efficient uncertainty quantific...
Uncertainty quantication (UQ) is the process of quantitative characterization and prop-agation of in...
We consider Uncertainty Quantification (UQ) by expanding the solution in so-called generalized Polyn...
multiUQ is a novel tool that simulates gas-liquid multiphase flows and quantifies uncertainty in res...
Uncertainty quantification (UQ) is a key component when using computational models that involve unce...
Abstract. Multi-physics models governed by coupled partial differential equation (PDE) systems, are ...
A technique for coupling an intrusive and non-intrusive uncertainty quantification method is propose...
Uncertainty Quantification (UQ) of numerical simulations is highly relevant in the study and design ...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
Uncertainty quantification is a rapidly growing field in computer simulation-based scientific applic...
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and ...