Parallel defect-correction algorithms based on finite element discretization for the Navier–Stokes equations

•Two parallel defect-correction algorithms for the Navier–Stokes equations are presented.•The algorithms are able to simulate high Reynolds numbers flows on relatively coarse grids.•The parallel algorithms are easy to implement based on an existing sequential solver.•The algorithms have low communic...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Computers & fluids Ročník 79; s. 200 - 212
Hlavný autor: Shang, Yueqiang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 25.06.2013
Predmet:
ISSN:0045-7930, 1879-0747
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:•Two parallel defect-correction algorithms for the Navier–Stokes equations are presented.•The algorithms are able to simulate high Reynolds numbers flows on relatively coarse grids.•The parallel algorithms are easy to implement based on an existing sequential solver.•The algorithms have low communication cost.•Numerical results demonstrated the efficiency of the algorithms. Based on a fully overlapping domain decomposition technique and finite element discretization, two parallel defect-correction algorithms for the stationary Navier–Stokes equations with high Reynolds numbers are proposed and investigated. In these algorithms, each processor first solves an artificial viscosity stabilized Navier–Stokes equations by Newton or Picard iterative method, and then diffuses the system in the correction steps where only a linear problem needs to be solved at each step. All the computations are performed in parallel on global composite meshes that are fine around a particular subdomain and coarse elsewhere. The algorithms have low communication complexity. They can yield an approximate solution with an accuracy comparable to that of the standard finite element solution. Numerical tests demonstrated the effectiveness of the algorithms.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0045-7930
1879-0747
DOI:10.1016/j.compfluid.2013.03.021