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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
Abstract
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/ | ||||||||
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| Document Type: | Article | ||||||||
| Additional Information: | eISSN 1533-385X | ||||||||
| Title: | A Closed-Form Correction for the Spalart-Allmaras Turbulence Model for Separated Flows | ||||||||
| Authors: |
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| Date: | 17 April 2023 | ||||||||
| Journal or Publication Title: | AIAA Journal | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | Yes | ||||||||
| In ISI Web of Science: | Yes | ||||||||
| DOI: | 10.2514/1.J061649 | ||||||||
| Page Range: | pp. 1-12 | ||||||||
| Publisher: | American Institute of Aeronautics and Astronautics (AIAA) | ||||||||
| ISSN: | 0001-1452 | ||||||||
| Status: | Published | ||||||||
| 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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