Uncertainty quantification for chaotic fluid dynamics

Uncertainty quantification for chaotic computational fluid dynamics q

We seek error models for simulations that model chaotic flow. Stable statistics for the solution and for the error are obtained after suitable averaging procedures. 2006 Elsevier Inc. All rights reserved.

Quantification of Uncertainty in Computational Fluid Dynamics

This review covers Verification, Validation, Confirmation and related subjects for computational fluid dynamics (CFD), including error taxonomies, error estimation and banding, convergence rates, surrogate estimators, nonlinear dynamics, and error estimation for grid adaptation vs Quantification of Uncertainty.

Uncertainty Quantification in Computational Fluid Dynamics

Bargaining with reading habit is no need. Reading is not kind of something sold that you can take or not. It is a thing that will change your life to life better. It is the thing that will give you many things around the world and this universe, in the real world and here after. As what will be given by this uncertainty quantification in computational fluid dynamics, how can you bargain with th...

International Conference on Uncertainty Quantification in Computational Fluid Dynamics

Kriging-model-based uncertainty quantification in computational fluid dynamics

This paper proposes an efficient and accurate non-intrusive uncertainty quantification (UQ) method in computational fluid dynamics (CFD). Emphasis is placed on developing an UQ method that can accurately predict stochastic behaviors of output solution with small number of sampling simulations, and is also accurate for non-smooth output uncertainty responses. The proposed method is based on Krig...