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dc.contributor.authorAl-Marouf, Mohamad
dc.contributor.authorSamtaney, Ravi
dc.date.accessioned2017-03-05T06:13:15Z
dc.date.available2017-03-05T06:13:15Z
dc.date.issued2017-02-25
dc.identifier.citationAl-Marouf M, Samtaney R (2017) A versatile embedded boundary adaptive mesh method for compressible flow in complex geometry. Journal of Computational Physics. Available: http://dx.doi.org/10.1016/j.jcp.2017.02.044.
dc.identifier.issn0021-9991
dc.identifier.doi10.1016/j.jcp.2017.02.044
dc.identifier.urihttp://hdl.handle.net/10754/622955
dc.description.abstractWe present an embedded ghost-fluid method for numerical solutions of the compressible Navier Stokes (CNS) equations in arbitrary complex domains. A PDE multidimensional extrapolation approach is used to reconstruct the solution in the ghost-fluid regions and imposing boundary conditions on the fluid-solid interface, coupled with a multi-dimensional algebraic interpolation for freshly cleared cells. The CNS equations are numerically solved by the second order multidimensional upwind method. Block-structured adaptive mesh refinement, implemented with the Chombo framework, is utilized to reduce the computational cost while keeping high resolution mesh around the embedded boundary and regions of high gradient solutions. The versatility of the method is demonstrated via several numerical examples, in both static and moving geometry, ranging from low Mach number nearly incompressible flows to supersonic flows. Our simulation results are extensively verified against other numerical results and validated against available experimental results where applicable. The significance and advantages of our implementation, which revolve around balancing between the solution accuracy and implementation difficulties, are briefly discussed as well.
dc.description.sponsorshipThis research was supported by the KAUST Office of Competitive Research Funds under Award No. URF/1/1394-01. The Cray XC40, Shaheen II, at KAUST was utilized for some of the simulations. We thank Dr. Narsimha Rapaka for his assistance in computing the three-dimensional cases on Shaheen II.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S002199911730147X
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Physics, 24 February 2017. DOI: 10.1016/j.jcp.2017.02.044. © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGhost cell method
dc.subjectPDE multidimensional extrapolation
dc.subjectCompressible Navier Stokes equations
dc.subjectAdaptive mesh refinement
dc.subjectLow Mach number flow
dc.subjectSupersonic flow
dc.titleA versatile embedded boundary adaptive mesh method for compressible flow in complex geometry
dc.typeArticle
dc.contributor.departmentFluid and Plasma Simulation Group (FPS)
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalJournal of Computational Physics
dc.eprint.versionPost-print
kaust.personAlmarouf, Mohamad Abdulilah Alhusain Alali
kaust.personSamtaney, Ravi
kaust.grant.numberURF/1/1394-01
dc.date.published-online2017-02-25
dc.date.published-print2017-05


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