An Embedded Ghost-Fluid Method for Compressible Flow in Complex Geometry

Handle URI:
http://hdl.handle.net/10754/621376
Title:
An Embedded Ghost-Fluid Method for Compressible Flow in Complex Geometry
Authors:
Almarouf, Mohamad Abdulilah Alhusain Alali; Samtaney, Ravi ( 0000-0002-4702-6473 )
Abstract:
We present an embedded ghost-fluid method for numerical solutions of the compressible Navier Stokes (CNS) equations in arbitrary complex domains. The PDE multidimensional extrapolation approach of Aslam [1] is used to reconstruct the solution in the ghost-fluid regions and impose boundary conditions at the fluid-solid interface. The CNS equations are numerically solved by the second order multidimensional upwind method of Colella [2] and Saltzman [3]. Block-structured adaptive mesh refinement implemented under 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. Numerical examples with different Reynolds numbers for low and high Mach number flow will be presented. We compare our simulation results with other reported experimental and computational results. The significance and advantages of our implementation, which revolve around balancing between the solution accuracy and implementation difficulties, are briefly discussed as well. © 2016 Trans Tech Publications.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program
Citation:
Al-Marouf M, Samtaney R (2016) An Embedded Ghost-Fluid Method for Compressible Flow in Complex Geometry. DDF 366: 31–39. Available: http://dx.doi.org/10.4028/www.scientific.net/DDF.366.31.
Publisher:
Trans Tech Publications
Journal:
Defect and Diffusion Forum
Issue Date:
3-Jun-2016
DOI:
10.4028/www.scientific.net/DDF.366.31
Type:
Article
ISSN:
1662-9507
Sponsors:
URF/1/1394-01, KAUST
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAlmarouf, Mohamad Abdulilah Alhusain Alalien
dc.contributor.authorSamtaney, Ravien
dc.date.accessioned2016-11-03T08:27:51Z-
dc.date.available2016-11-03T08:27:51Z-
dc.date.issued2016-06-03en
dc.identifier.citationAl-Marouf M, Samtaney R (2016) An Embedded Ghost-Fluid Method for Compressible Flow in Complex Geometry. DDF 366: 31–39. Available: http://dx.doi.org/10.4028/www.scientific.net/DDF.366.31.en
dc.identifier.issn1662-9507en
dc.identifier.doi10.4028/www.scientific.net/DDF.366.31en
dc.identifier.urihttp://hdl.handle.net/10754/621376-
dc.description.abstractWe present an embedded ghost-fluid method for numerical solutions of the compressible Navier Stokes (CNS) equations in arbitrary complex domains. The PDE multidimensional extrapolation approach of Aslam [1] is used to reconstruct the solution in the ghost-fluid regions and impose boundary conditions at the fluid-solid interface. The CNS equations are numerically solved by the second order multidimensional upwind method of Colella [2] and Saltzman [3]. Block-structured adaptive mesh refinement implemented under 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. Numerical examples with different Reynolds numbers for low and high Mach number flow will be presented. We compare our simulation results with other reported experimental and computational results. The significance and advantages of our implementation, which revolve around balancing between the solution accuracy and implementation difficulties, are briefly discussed as well. © 2016 Trans Tech Publications.en
dc.description.sponsorshipURF/1/1394-01, KAUSTen
dc.publisherTrans Tech Publicationsen
dc.subjectCompressible Navier-Stokesen
dc.titleAn Embedded Ghost-Fluid Method for Compressible Flow in Complex Geometryen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentMechanical Engineering Programen
dc.identifier.journalDefect and Diffusion Forumen
kaust.authorAlmarouf, Mohamad Abdulilah Alhusain Alalien
kaust.authorSamtaney, Ravien
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