Pregled bibliografske jedinice broj: 713776
Preconditioned Linear Solvers for Large Eddy Simulation
Preconditioned Linear Solvers for Large Eddy Simulation // CFD 2007 Conference, CFD Society of Canada
Toronto, Kanada, 2007. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 713776 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Preconditioned Linear Solvers for Large Eddy Simulation
Autori
Jasak, Hrvoje ; Jemcov, A. ; Maruszewski, J.P.
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
CFD 2007 Conference, CFD Society of Canada
Mjesto i datum
Toronto, Kanada, 27.05.2007. - 31.05.2007
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Solver; Preconditioner; OpenFOAM; CFD; Large Eddy Simulation
Sažetak
Efficient solution of linear systems of equations stemming from cell centered Finite Volume Discretization in Large Eddy Simulation is critical in large-scale sim- ulations. This paper presents a class of sparse matrix iterative solvers combining Algebraic Multigrid (AMG) and Krylov Space techniques with the idea of combining residual reduction techniques to improve efficiency over the current solver technology. Emphasis is placed on choosing combinations of a solver, a preconditioner and a smoother and setting control parameters that yield the most efficient solution. Results show consistent superiority of AMG-preconditioned Conjugate Gradient solvers for matrices under consideration.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
