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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows

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Abstract
In the present work, supersonic flows over an axisymmetric base and a 24-deg compression ramp are investigated using the
generalized k-ω (GEKO) model implemented in the commercial software, ANSYS FLUENT. GEKO is a two-equation model
based on the k-ω formulation, and some specified model coefficients can be tuned depending on the flow characteristics.
Uncertainty quantification (UQ) analysis is incorporated to quantify the uncertainty of the model coefficients and to calibrate
the coefficients. The Latin hypercube sampling (LHS) method is used for sampling independent input parameters as a uniform
distribution. A metamodel is constructed based on general polynomial chaos expansion (gPCE) using ordinary least squares
(OLS). The influential coefficient closure is obtained by using Sobol indices. The affine invariant ensemble algorithm (AIES) is
selected to characterize the posterior distribution via Markov chain Monte Carlo sampling. Calibrated model coefficients are
extracted from posterior distributions obtained through Bayesian inference, which is based on the point-collocation
nonintrusive polynomial chaos (NIPC) method. Results obtained through calibrated model coefficients by Bayesian inference
show superior prediction with available experimental measurements than those from original model ones.
Author(s)
정영기장경식배재현
Issued Date
2021
Type
Article
Keyword
UQCFDGEKO model
DOI
10.1155/2021/9998449
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9213
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_doaj_primary_oai_doaj_org_article_e2f810c34f1a4c1bb021e9dd2d3e9976&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Uncertainty%20Quantification%20of%20GEKO%20Model%20Coefficients%20on%20Compressible%20Flows&offset=0&pcAvailability=true
Publisher
INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING
Location
영국
Language
영어
ISSN
1687-5966
Citation Volume
2021
Citation Number
1
Citation Start Page
9998449
Citation End Page
9998449
Appears in Collections:
Engineering > Aerospace Engineering
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