GPU-accelerated simulations for eVTOL aerodynamic analysis

GPU-accelerated simulations for eVTOL aerodynamic analysis

Pasquariello, Vito (Lilium eAircraft, Wessling)
Bunk, Y.L. (Lilium eAircraft, Wessling)
Eberhardt, S. (Lilium eAircraft, Wessling)
Huang, Pei-Hsuan (Lilium eAircraft, Wessling)
Matheis, Jan (Lilium eAircraft, Wessling)
Ugolotti, Matteo (Lilium eAircraft, Wessling)
Hickel, S. (TU Delft Aerodynamics)

2023

The demand for fast, high-fidelity, scale-resolving computational fluid dynamics (CFD) simulations is continuously growing. Especially new emerging aviation technologies, such as electrical vertical take-off and landing aircraft (eVTOL), strongly rely on advanced numerical methods to retain development life-cycle costs and achieving design targets more quickly. This paper presents a cutting-edge large-eddy simulations (LES) solver developed to enable over-night turnaround times for full aircraft simulations on advanced graphics processing unit (GPU) architectures. The solver models weakly compressible fluid flows over complex three-dimensional bodies based on an immersed boundary method with geometry-based and flow-based automatic mesh adaption. Its high accuracy and unprecedented performance is demonstrated for high Reynolds number aerodynamic benchmark cases and compared to recent results from literature. In addition, the successful validation against experimental data for the Lilium Jet canard is discussed.

http://resolver.tudelft.nl/uuid:580b0eb1-0751-4ca3-8fa6-513af0b34ba6

https://doi.org/10.2514/6.2023-2107

978-1-62410-699-6

AIAA SciTech Forum 2023

AIAA SCITECH 2023 Forum, 2023-01-23 → 2023-01-27, National Harbor, MD & Online, Washington, United States

Institutional Repository

conference paper

© 2023 Vito Pasquariello, Y.L. Bunk, S. Eberhardt, Pei-Hsuan Huang, Jan Matheis, Matteo Ugolotti, S. Hickel