GPU-accelerated simulations for eVTOL aerodynamic analysis

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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

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.
Original languageEnglish
Title of host publicationAIAA SciTech Forum 2023
Number of pages22
ISBN (Electronic)978-1-62410-699-6
DOIs
Publication statusPublished - 2023
EventAIAA SCITECH 2023 Forum - National Harbor, MD & Online, Washington, United States
Duration: 23 Jan 202327 Jan 2023
https://arc-aiaa-org.tudelft.idm.oclc.org/doi/book/10.2514/MSCITECH23

Conference

ConferenceAIAA SCITECH 2023 Forum
Country/TerritoryUnited States
CityWashington
Period23/01/2327/01/23
Internet address

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