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001041815 005__ 20250514202226.0
001041815 0247_ $$2doi$$a10.34734/FZJ-2025-02449
001041815 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02449
001041815 037__ $$aFZJ-2025-02449
001041815 041__ $$aEnglish
001041815 1001_ $$0P:(DE-HGF)0$$aPeng, Han$$b0
001041815 1112_ $$a35th Parallel CFD International Conference 2024$$cBonn$$d2024-09-02 - 2024-09-04$$gParCFD 2024$$wGermany
001041815 245__ $$aParallel Adaptive High-Resolution Simulation of Rotating Detonation Engines in 3D
001041815 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2025
001041815 29510 $$aProceedings of the 35th Parallel CFD International Conference 2024
001041815 300__ $$a37 - 39
001041815 3367_ $$2ORCID$$aCONFERENCE_PAPER
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001041815 4900_ $$aSchriften des Forschungszentrums Jülich IAS Series$$v69
001041815 520__ $$aSimulations of rotating detonation engines are still dominated by solvers on uniform or statically refined meshes. Here, we demonstrate the application of 3D parallel block-structured adaptive mesh refinement to this problem class. The computations employ a generic shock-capturing curvilinear high-speed combustion solver within the parallel adaptive mesh refinement framework AMROC. The ability to not only capture the rotating waves effectively, but to resolve sub-scale phenomena down to the cellular structures, intrinsic to detonation propagation, demonstrates the potential of the approach.
001041815 7001_ $$0P:(DE-HGF)0$$aDeiterding, Ralf$$b1$$eCorresponding author
001041815 770__ $$z978-3-95806-819-3
001041815 773__ $$a10.34734/FZJ-2025-02449
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