contributor author | Pereira, Filipe S. | |
contributor author | Grinstein, Fernando F. | |
contributor author | Israel, Daniel M. | |
contributor author | Eça, Luis | |
date accessioned | 2022-05-08T09:00:34Z | |
date available | 2022-05-08T09:00:34Z | |
date copyright | 3/15/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 2377-2158 | |
identifier other | vvuq_007_02_021003.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4284621 | |
description abstract | This work investigates the importance of verification and validation (V& | |
description abstract | V) to achieve predictive scale-resolving simulations (SRSs) of turbulence, i.e., computations capable of resolving a fraction of the turbulent flow scales. Toward this end, we propose a novel but simple V& | |
description abstract | V strategy based on grid and physical resolution refinement studies that can be used even when the exact initial flow conditions are unknown, or reference data are unavailable. This is particularly relevant for transient and transitional flow problems, as well as for the improvement of turbulence models. We start by presenting a literature survey of results obtained with distinct SRS models for flows past circular cylinders (CCs). It confirms the importance of V& | |
description abstract | V by illustrating a large variability of results, which is independent of the selected mathematical model and Reynolds number. The proposed V& | |
description abstract | V strategy is then used on three representative problems of practical interest. The results illustrate that it is possible to conduct reliable V& | |
description abstract | V exercises with SRS models and evidence the importance of V& | |
description abstract | V to predictive SRS of turbulence. Most notably, the data also confirm the advantages and potential of the proposed V& | |
description abstract | V strategy: separate assessment of numerical and modeling errors, enhanced flow physics analysis, identification of key flow phenomena, and ability to operate when the exact flow conditions are unknown or reference data are unavailable. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Verification and Validation: The Path to Predictive Scale-Resolving Simulations of Turbulence | |
type | Journal Paper | |
journal volume | 7 | |
journal issue | 2 | |
journal title | Journal of Verification, Validation and Uncertainty Quantification | |
identifier doi | 10.1115/1.4053884 | |
journal fristpage | 21003-1 | |
journal lastpage | 21003-13 | |
page | 13 | |
tree | Journal of Verification, Validation and Uncertainty Quantification:;2022:;volume( 007 ):;issue: 002 | |
contenttype | Fulltext | |