Implicit LU-SGS algorithm for high-order methods on unstructured grid with p-multigrid strategy for solving the steady Navier–Stokes equations

The fluid dynamic equations are discretized by a high-order spectral volume (SV) method on unstructured tetrahedral grids. We solve the steady state equations by advancing in time using a backward Euler (BE) scheme. To avoid the inversion of a large matrix we approximate BE by an implicit lower–uppe...

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Vydané v:Journal of computational physics Ročník 229; číslo 3; s. 828 - 850
Hlavní autori: Parsani, M., Van den Abeele, K., Lacor, C., Turkel, E.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Kidlington Elsevier Inc 01.02.2010
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ISSN:0021-9991, 1090-2716
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Abstract The fluid dynamic equations are discretized by a high-order spectral volume (SV) method on unstructured tetrahedral grids. We solve the steady state equations by advancing in time using a backward Euler (BE) scheme. To avoid the inversion of a large matrix we approximate BE by an implicit lower–upper symmetric Gauss–Seidel (LU-SGS) algorithm. The implicit method addresses the stiffness in the discrete Navier–Stokes equations associated with stretched meshes. The LU-SGS algorithm is then used as a smoother for a p-multigrid approach. A Von Neumann stability analysis is applied to the two-dimensional linear advection equation to determine its damping properties. The implicit LU-SGS scheme is used to solve the two-dimensional (2D) compressible laminar Navier–Stokes equations. We compute the solution of a laminar external flow over a cylinder and around an airfoil at low Mach number. We compare the convergence rates with explicit Runge–Kutta (E-RK) schemes employed as a smoother. The effects of the cell aspect ratio and the low Mach number on the convergence are investigated. With the p-multigrid method and the implicit smoother the computational time can be reduced by a factor of up to 5–10 compared with a well tuned E-RK scheme.
AbstractList The fluid dynamic equations are discretized by a high-order spectral volume (SV) method on unstructured tetrahedral grids. We solve the steady state equations by advancing in time using a backward Euler (BE) scheme. To avoid the inversion of a large matrix we approximate BE by an implicit lower-upper symmetric Gauss-Seidel (LU-SGS) algorithm. The implicit method addresses the stiffness in the discrete Navier-Stokes equations associated with stretched meshes. The LU-SGS algorithm is then used as a smoother for a p-multigrid approach. A von Neumann stability analysis is applied to the two-dimensional linear advection equation to determine its damping properties. The implicit LU-SGS scheme is used to solve the two-dimensional (2D) compressible laminar Navier-Stokes equations. We compute the solution of a laminar external flow over a cylinder and around an airfoil at low Mach number. We compare the convergence rates with explicit Runge-Kutta (E-RK) schemes employed as a smoother. The effects of the cell aspect ratio and the low Mach number on the convergence are investigated. With the p-multigrid method and the implicit smoother the computational time can be reduced by a factor of up to 5-10 compared with a well tuned E-RK scheme.
The fluid dynamic equations are discretized by a high-order spectral volume (SV) method on unstructured tetrahedral grids. We solve the steady state equations by advancing in time using a backward Euler (BE) scheme. To avoid the inversion of a large matrix we approximate BE by an implicit lower–upper symmetric Gauss–Seidel (LU-SGS) algorithm. The implicit method addresses the stiffness in the discrete Navier–Stokes equations associated with stretched meshes. The LU-SGS algorithm is then used as a smoother for a p-multigrid approach. A Von Neumann stability analysis is applied to the two-dimensional linear advection equation to determine its damping properties. The implicit LU-SGS scheme is used to solve the two-dimensional (2D) compressible laminar Navier–Stokes equations. We compute the solution of a laminar external flow over a cylinder and around an airfoil at low Mach number. We compare the convergence rates with explicit Runge–Kutta (E-RK) schemes employed as a smoother. The effects of the cell aspect ratio and the low Mach number on the convergence are investigated. With the p-multigrid method and the implicit smoother the computational time can be reduced by a factor of up to 5–10 compared with a well tuned E-RK scheme.
Author Lacor, C.
Van den Abeele, K.
Parsani, M.
Turkel, E.
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  fullname: Lacor, C.
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  surname: Turkel
  fullname: Turkel, E.
  email: turkel@post.tau.ac.il
  organization: Tel-Aviv University, Department of Mathematics, Tel-Aviv, Ramat Aviv 69978, Israel
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Issue 3
Keywords Navier–Stokes
p-Multigrid
High-order methods
Implicit LU-SGS algorithm
Von Neumann analysis
Damping
Spectral method
Fluid dynamics
Aspect ratio
Euler scheme
Calculation methods
Advection
Algorithms
Laminar flow
Multigrid
Convergence rate
Navier-Stokes
Calculation
Cylinders
Navier-Stokes equations
Mach number
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Snippet The fluid dynamic equations are discretized by a high-order spectral volume (SV) method on unstructured tetrahedral grids. We solve the steady state equations...
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SubjectTerms Algorithms
Boundary element method
Computational techniques
Cylinders
Exact sciences and technology
High-order methods
Implicit LU-SGS algorithm
Laminar
Mach number
Mathematical analysis
Mathematical methods in physics
Navier-Stokes equations
Navier–Stokes
p-Multigrid
Physics
Runge-Kutta method
Von Neumann analysis
Title Implicit LU-SGS algorithm for high-order methods on unstructured grid with p-multigrid strategy for solving the steady Navier–Stokes equations
URI https://dx.doi.org/10.1016/j.jcp.2009.10.014
https://www.proquest.com/docview/21175296
https://www.proquest.com/docview/36485875
Volume 229
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