contributor author | van Hove, Alouette | |
contributor author | Skov, Lasse N. | |
contributor author | Hinz, Denis F. | |
date accessioned | 2019-03-17T10:23:55Z | |
date available | 2019-03-17T10:23:55Z | |
date copyright | 6/18/2018 12:00:00 AM | |
date issued | 2019 | |
identifier issn | 2377-2158 | |
identifier other | vvuq_003_01_011002.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4256112 | |
description abstract | Achieving good reproducibility in fluid flow experiments can be challenging, in particular in scenarios where the experimental boundary conditions are obscure. We use computational uncertainty quantification (UQ) to evaluate the influence of uncertain inflow conditions on the reproducibility of experiments with swirling flow. Using a nonintrusive polynomial chaos method in combination with a computational fluid dynamics (CFD) code, we obtain the expectation and variance of the velocity fields downstream from symmetric and asymmetric swirl disturbance generators. Our results suggest that the flow patterns downstream from the asymmetric swirl disturbance generator are more reproducible than the flow patterns downstream from the symmetric swirl disturbance generator. This confirms that the inherent breaking of symmetry eliminates instability mechanisms in the wake of the disturber, thereby creating more stable swirling patterns that make the experiments more reproducible. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Reproducibility of Experiments With Swirling Flow: Numerical Prediction With Polynomial Chaos | |
type | Journal Paper | |
journal volume | 3 | |
journal issue | 1 | |
journal title | Journal of Verification, Validation and Uncertainty Quantification | |
identifier doi | 10.1115/1.4040431 | |
journal fristpage | 11002 | |
journal lastpage | 011002-12 | |
tree | Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 001 | |
contenttype | Fulltext | |