Spalart-Allmaras Turbulence Model Conditioning for Leading-Edge Vortex Flows

The physical modeling of turbulence for the partial differential equations closure used to numerically solve large-scale leading-edge vortex flows maintains a significant grade of complexity and interest in the research community. This plays a major factor for the discrepancies with experimental or high fidelity data. A baseline common turbulence model is enhanced by means of a series of additional destruction terms which are formulated with a correlated physical feature of vortical flows as fundament and calibrated by means of an automatic gradient descent optimization procedure towards experimental data. The numerical accuracy is augmented for a certain cluster of cases around the calibration case in the parametric space which describes the classification of vortex flows over highly swept aerodynamic planforms. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.     «

The physical modeling of turbulence for the partial differential equations closure used to numerically solve large-scale leading-edge vortex flows maintains a significant grade of complexity and interest in the research community. This plays a major factor for the discrepancies with experimental or high fidelity data. A baseline common turbulence model is enhanced by means of a series of additional destruction terms which are formulated with a correlated physical feature of vortical flows as fun...     »

The support to this research work by Airbus Defence and Space in the LUFO V-2 project VitAM/VitaMInABC (Virtual Aircraft Model for the Industrial Assessment of Blended Wing Body Controllability, FKZ: 20A1504C), which has been partially funded by the German Federal Ministry for Economic Affairs and Energy (BMWi), is gratefully acknowledged. The authors thank the German Aerospace Center (DLR) for the permission to use the DLR TAU-Code to perform the methodology implementation and the numerical investigations. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for providing computing time on the GCS Supercomputer SuperMUC at Leibniz Supercomputing Center (LRZ, www.lrz.de) in order to successfully perform the research tasks.     «

The support to this research work by Airbus Defence and Space in the LUFO V-2 project VitAM/VitaMInABC (Virtual Aircraft Model for the Industrial Assessment of Blended Wing Body Controllability, FKZ: 20A1504C), which has been partially funded by the German Federal Ministry for Economic Affairs and Energy (BMWi), is gratefully acknowledged. The authors thank the German Aerospace Center (DLR) for the permission to use the DLR TAU-Code to perform the methodology implementation and the numerical inv...     »