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A pressure-corrected Immersed Boundary Method for the numerical simulation of compressible flows

Authors :
Marcello Meldi
Julien Favier
H. Riahi
E. Goncalves
Eric Serre
Institut Pprime (PPRIME)
Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)
Laboratoire de Mécanique, Modélisation et Procédés Propres (M2P2)
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Acoustique, Aérodynamique, Turbulence (2AT )
Département Fluides, Thermique et Combustion (FTC)
Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)-Institut Pprime (PPRIME)
Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)
Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)
Source :
Journal of Computational Physics, Journal of Computational Physics, 2018, 374, pp.361-383. ⟨10.1016/j.jcp.2018.07.033⟩, Journal of Computational Physics, Elsevier, 2018, 374, pp.361-383. ⟨10.1016/j.jcp.2018.07.033⟩
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

International audience; The development of an improved new IBM method is proposed in the present article. This method roots in efficient proposals developed for the simulation of incompressible flows, and it is expanded for compressible configurations. The main feature of this model is the integration of a pressure-based correction of the IBM forcing which is analytically derived from the set of dynamic equations. The resulting IBM method has been integrated in various flow solvers available in the CFD platform OpenFOAM. A rigorous validation has been performed considering different test cases of increasing complexity. The results have been compared with a large number of references available in the literature of experimental and numerical nature. This analysis highlights numerous favorable characteristics of the IBM method, such as precision, flexibility and computational cost efficiency.

Details

ISSN :
00219991 and 10902716
Volume :
374
Database :
OpenAIRE
Journal :
Journal of Computational Physics
Accession number :
edsair.doi.dedup.....b5223792c37a988cfbad7462cb131c40