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A Closed-Form Correction for the Spalart-Allmaras Turbulence Model for Separated Flows

Jäckel, Florian (2023) A Closed-Form Correction for the Spalart-Allmaras Turbulence Model for Separated Flows. AIAA Journal, pp. 1-12. American Institute of Aeronautics and Astronautics (AIAA). doi: 10.2514/1.J061649. ISSN 0001-1452.

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Official URL: https://arc.aiaa.org/doi/full/10.2514/1.J061649


The field inversion and machine learning (FIML) approach is leveraged to obtain a closed-form correction for the Spalart–Allmaras turbulence model to improve predictions of separated flows. Based on field inversion results obtained using the first-generation FIML Classic approach, a simple and compact closed-form expression is chosen to be used as correction model. The thus obtained correction model is optimized using the second-generation FIML Direct approach. Training and validation cases consist of a selection of airfoils in a wide range of flow conditions as well as the flat plate. The correction model and results for the training and validation cases obtained with the augmented turbulence model are presented, demonstrating the improved flow predictions.

Item URL in elib:https://elib.dlr.de/194879/
Document Type:Article
Additional Information:eISSN 1533-385X
Title:A Closed-Form Correction for the Spalart-Allmaras Turbulence Model for Separated Flows
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:17 April 2023
Journal or Publication Title:AIAA Journal
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 1-12
Publisher:American Institute of Aeronautics and Astronautics (AIAA)
Keywords:Field Inversion, Machine Learning, FIM-ML, Radial Basis Functions, Artificial Intelligence, CFD, TAU Code, Turbulence Modeling, Calibration, RANS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, GO
Deposited By: Krumbein, Dr.-Ing. Andreas
Deposited On:04 May 2023 13:14
Last Modified:15 May 2023 12:47

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