Multi-scale high-performance fluid flow: Simulations through porous media

Handle URI:
http://hdl.handle.net/10754/622221
Title:
Multi-scale high-performance fluid flow: Simulations through porous media
Authors:
Perović, Nevena; Frisch, Jérôme; Salama, Amgad ( 0000-0002-4463-1010 ) ; Sun, Shuyu ( 0000-0002-3078-864X ) ; Rank, Ernst; Mundani, Ralf Peter
Abstract:
Computational fluid dynamic (CFD) calculations on geometrically complex domains such as porous media require high geometric discretisation for accurately capturing the tested physical phenomena. Moreover, when considering a large area and analysing local effects, it is necessary to deploy a multi-scale approach that is both memory-intensive and time-consuming. Hence, this type of analysis must be conducted on a high-performance parallel computing infrastructure. In this paper, the coupling of two different scales based on the Navier–Stokes equations and Darcy's law is described followed by the generation of complex geometries, and their discretisation and numerical treatment. Subsequently, the necessary parallelisation techniques and a rather specific tool, which is capable of retrieving data from the supercomputing servers and visualising them during the computation runtime (i.e. in situ) are described. All advantages and possible drawbacks of this approach, together with the preliminary results and sensitivity analyses are discussed in detail.
KAUST Department:
King Abdullah University of Science and Technology, Saudi Arabia
Citation:
Perović N, Frisch J, Salama A, Sun S, Rank E, et al. (2017) Multi-scale high-performance fluid flow: Simulations through porous media. Advances in Engineering Software 103: 85–98. Available: http://dx.doi.org/10.1016/j.advengsoft.2016.07.016.
Publisher:
Elsevier BV
Journal:
Advances in Engineering Software
Issue Date:
3-Aug-2016
DOI:
10.1016/j.advengsoft.2016.07.016
Type:
Article
ISSN:
0965-9978
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorPerović, Nevenaen
dc.contributor.authorFrisch, Jérômeen
dc.contributor.authorSalama, Amgaden
dc.contributor.authorSun, Shuyuen
dc.contributor.authorRank, Ernsten
dc.contributor.authorMundani, Ralf Peteren
dc.date.accessioned2017-01-02T08:42:38Z-
dc.date.available2017-01-02T08:42:38Z-
dc.date.issued2016-08-03en
dc.identifier.citationPerović N, Frisch J, Salama A, Sun S, Rank E, et al. (2017) Multi-scale high-performance fluid flow: Simulations through porous media. Advances in Engineering Software 103: 85–98. Available: http://dx.doi.org/10.1016/j.advengsoft.2016.07.016.en
dc.identifier.issn0965-9978en
dc.identifier.doi10.1016/j.advengsoft.2016.07.016en
dc.identifier.urihttp://hdl.handle.net/10754/622221-
dc.description.abstractComputational fluid dynamic (CFD) calculations on geometrically complex domains such as porous media require high geometric discretisation for accurately capturing the tested physical phenomena. Moreover, when considering a large area and analysing local effects, it is necessary to deploy a multi-scale approach that is both memory-intensive and time-consuming. Hence, this type of analysis must be conducted on a high-performance parallel computing infrastructure. In this paper, the coupling of two different scales based on the Navier–Stokes equations and Darcy's law is described followed by the generation of complex geometries, and their discretisation and numerical treatment. Subsequently, the necessary parallelisation techniques and a rather specific tool, which is capable of retrieving data from the supercomputing servers and visualising them during the computation runtime (i.e. in situ) are described. All advantages and possible drawbacks of this approach, together with the preliminary results and sensitivity analyses are discussed in detail.en
dc.publisherElsevier BVen
dc.subjectHierarchical data structureen
dc.subjectHigh-performance computingen
dc.subjectInteractive data explorationen
dc.subjectMulti-grid-like solveren
dc.subjectMulti-scale approachen
dc.subjectParallel computingen
dc.subjectPorous mediaen
dc.titleMulti-scale high-performance fluid flow: Simulations through porous mediaen
dc.typeArticleen
dc.contributor.departmentKing Abdullah University of Science and Technology, Saudi Arabiaen
dc.identifier.journalAdvances in Engineering Softwareen
dc.contributor.institutionTechnische Universität München, Arcisstrasse 21, 80333 München, Germanyen
dc.contributor.institutionRWTH Aachen University, Mathieustrasse 30, 52074 Aachen, Germanyen
kaust.authorSalama, Amgaden
kaust.authorSun, Shuyuen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.