Low-order finite element preconditioner for spectral element pressure solver in Navier-Stokes equations
Bello-Maldonado, Pedro David
Loading…
Permalink
https://hdl.handle.net/2142/95408
Description
Title
Low-order finite element preconditioner for spectral element pressure solver in Navier-Stokes equations
Author(s)
Bello-Maldonado, Pedro David
Issue Date
2016-12-07
Director of Research (if dissertation) or Advisor (if thesis)
Fischer, Paul F.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Finite element method (FEM)
Spectral element method (SEM)
Preconditioner
Computational fluid dynamics (CFD)
Low-order methods
High-order methods
Abstract
High-order spectral element methods (SEM) while very accurate for computational fluid dynamics (CFD) simulations can be prohibitively expensive for meshes with difficult geometries. Controlling the number of iterations in the pressure solver can significantly reduce the computing time of CFD applications. A low-order finite element (FEM) operator collocated on the Gauss-Lobatto-Legendre (GLL) points in the SEM discretization is proposed as preconditioner. Three different versions of the preconditioner based on combinations of the low-order stiffness and mass matrices are tested for 2D and 3D geometries. When building the preconditioning operators a new meshing approach that allows elements to overlap and need not fill out the volume of the mesh are explored and proven to be better than traditional schemes. With these preconditioners a bound on the number of iterations is attained regardless of mesh geometry or polynomial degree used. This novel meshing strategy achieves a reduction up to 30% in the number of iterations compared to the best current schemes without increasing the computational cost of the preconditioners, and it also overcomes the shortcommings of other well known preconditioners such as the hybrid Schwarz preconditioner.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.