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| 001 | 1041815 | ||
| 005 | 20250514202226.0 | ||
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| 037 | _ | _ | |a FZJ-2025-02449 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Peng, Han |0 P:(DE-HGF)0 |b 0 |
| 111 | 2 | _ | |a 35th Parallel CFD International Conference 2024 |g ParCFD 2024 |c Bonn |d 2024-09-02 - 2024-09-04 |w Germany |
| 245 | _ | _ | |a Parallel Adaptive High-Resolution Simulation of Rotating Detonation Engines in 3D |
| 260 | _ | _ | |a Jülich |c 2025 |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |
| 295 | 1 | 0 | |a Proceedings of the 35th Parallel CFD International Conference 2024 |
| 300 | _ | _ | |a 37 - 39 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 490 | 0 | _ | |a Schriften des Forschungszentrums Jülich IAS Series |v 69 |
| 520 | _ | _ | |a Simulations of rotating detonation engines are still dominated by solvers on uniform or statically refined meshes. Here, we demonstrate the application of 3D parallel block-structured adaptive mesh refinement to this problem class. The computations employ a generic shock-capturing curvilinear high-speed combustion solver within the parallel adaptive mesh refinement framework AMROC. The ability to not only capture the rotating waves effectively, but to resolve sub-scale phenomena down to the cellular structures, intrinsic to detonation propagation, demonstrates the potential of the approach. |
| 700 | 1 | _ | |a Deiterding, Ralf |0 P:(DE-HGF)0 |b 1 |e Corresponding author |
| 770 | _ | _ | |z 978-3-95806-819-3 |
| 773 | _ | _ | |a 10.34734/FZJ-2025-02449 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1041815/files/139.pdf |y OpenAccess |
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