Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor

ISSN:
0021-9991
Source:
Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
Topics:
Computer Science
Physics
Type of Medium:
Electronic Resource
URL:
_version_ 1798290935922032641
autor Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
autorsonst Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
book_url http://dx.doi.org/10.1016/0021-9991(92)90052-Z
datenlieferant nat_lic_papers
fussnote We describe the parallel implementation of a numerical method, known as the random vortex method, for simulating fluid flow in arbitrary, complex geometries. The code is implemented on the Connection Machine CM-2, a massively parallel processor. The numerical method is particularly suited for computing complex viscous, incompressible flow across a wide range of flow regimes and characteristics. In this method, the vorticity of the flow is approximated by a collection of particles whose positions and strengths induce an underlying flow. As such, it is a Lagrangian scheme, in which the position of each particle is affected by all others at each time step. The efficient execution of this method on the Connection Machine results from a parallel N body solver, parallel elliptic solvers, and a parallel data structure for the adaptive creation of computational elements on the boundary of the confining region. Using this method, we analyze the generation of large vortex structures, mixing and shedding under various flow geometries and inlet/outlet profiles. The data from our simulations are visualized using the real-time flow visualization environment developed on the Connection Machine.
hauptsatz hsatz_simple
identnr NLZ183290062
iqvoc_descriptor_title iqvoc_00000661:processor
issn 0021-9991
journal_name Journal of Computational Physics
materialart 1
package_name Elsevier
publikationsort Amsterdam
publisher Elsevier
reference 101 (1992), S. 185-206
search_space articles
shingle_author_1 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
shingle_author_2 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
shingle_author_3 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
shingle_author_4 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
shingle_catch_all_1 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
0021-9991
00219991
Elsevier
shingle_catch_all_2 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
0021-9991
00219991
Elsevier
shingle_catch_all_3 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
0021-9991
00219991
Elsevier
shingle_catch_all_4 Sethian, J.A.
Brunet, J.-P.
Greenberg, A.
Mesirov, J.P.
Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
0021-9991
00219991
Elsevier
shingle_title_1 Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
shingle_title_2 Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
shingle_title_3 Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
shingle_title_4 Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
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source_archive Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
timestamp 2024-05-06T08:24:38.629Z
titel Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
titel_suche Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor
We describe the parallel implementation of a numerical method, known as the random vortex method, for simulating fluid flow in arbitrary, complex geometries. The code is implemented on the Connection Machine CM-2, a massively parallel processor. The numerical method is particularly suited for computing complex viscous, incompressible flow across a wide range of flow regimes and characteristics. In this method, the vorticity of the flow is approximated by a collection of particles whose positions and strengths induce an underlying flow. As such, it is a Lagrangian scheme, in which the position of each particle is affected by all others at each time step. The efficient execution of this method on the Connection Machine results from a parallel N body solver, parallel elliptic solvers, and a parallel data structure for the adaptive creation of computational elements on the boundary of the confining region. Using this method, we analyze the generation of large vortex structures, mixing and shedding under various flow geometries and inlet/outlet profiles. The data from our simulations are visualized using the real-time flow visualization environment developed on the Connection Machine.
topic SQ-SU
U
uid nat_lic_papers_NLZ183290062