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Uncertainty Quantification and Sensitivity Analysis of Closure Parameters of Transition Models.

Uncertainty Quantification and Sensitivity Analysis of Closure Parameters of Transition Models.

Authors :
Song, Ziming
Liu, Zaijie
Yan, Chao
Source :
Journal of Aerospace Engineering; Jan2023, Vol. 36 Issue 1, p1-14, 14p
Publication Year :
2023

Abstract

The closure parameters introduced in transition models can compromise the accuracy of prediction results. This paper investigated the uncertainty caused by the closure parameters in transition models (γ and k−ω−γ), and identified the key parameters that have the greatest impact on quantities of interest. The uncertainty was propagated by the point-collocation no-intrusive polynomial chaos method, and the relative contribution of each parameter to uncertainty was assessed by the Sobol index. The natural transition flow (Schubauer–Klebanoff flat plate) and low-velocity airfoil flow (NLF0416 airfoil) were chosen for computational cases. The results, which are highly dependent on the closure parameters, validate the necessity of uncertainty research. The parameters of the k−ω−γ model are more sensitive than those of the γ model. In the γ model, the most critical parameter is CTU2 , which is negatively related to the transition position, i.e., the transition delays when CTU2 increases and advances when CTU2 decreases. In the k−ω−γ model, the most critical parameter is C2 , which is positively related to the transition position. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08931321
Volume :
36
Issue :
1
Database :
Complementary Index
Journal :
Journal of Aerospace Engineering
Publication Type :
Academic Journal
Accession number :
160229627
Full Text :
https://doi.org/10.1061/(ASCE)AS.1943-5525.0001496