Hiroaki Nishikawa National Institute of Aerospace

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Towards Future Navier- Towards Future Navier- Stokes Schemes Stokes Schemes Uniform Accuracy, O(h) Time Step, Accurate Viscous/Heat Uniform Accuracy, O(h) Time Step, Accurate Viscous/Heat Fluxes Fluxes Hiroaki Nishikawa Hiroaki Nishikawa National Institute of Aerospace National Institute of Aerospace

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Towards Future Navier-Stokes Schemes Uniform Accuracy, O(h) Time Step, Accurate Viscous/Heat Fluxes. Hiroaki Nishikawa National Institute of Aerospace. Future Navier-Stokes Schemes. One Scheme for the Navier-Stokes System Uniform Accuracy for ALL Reynolds Numbers - PowerPoint PPT Presentation

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Page 1: Hiroaki Nishikawa National Institute of Aerospace

Towards Future Navier-Stokes SchemesTowards Future Navier-Stokes SchemesUniform Accuracy, O(h) Time Step, Accurate Viscous/Heat FluxesUniform Accuracy, O(h) Time Step, Accurate Viscous/Heat Fluxes

Hiroaki NishikawaHiroaki NishikawaNational Institute of AerospaceNational Institute of Aerospace

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Future Navier-Stokes Schemes

1. One Scheme for the Navier-Stokes System

2. Uniform Accuracy for ALL Reynolds Numbers

3. O(h) Time Step for ALL Reynolds Numbers

4. Accurate Viscous Stresses and Heat Fluxes

5. More…

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New Approach for Diffusion  Diffusion Equation Hyperbolic Heat Equations

Advection scheme for diffusion

JCP 2007 vol.227, pp315-352

Also equivalent at a steady state:

Stiffness is NOT an issue for steady computation.

The system can stay strongly hyperbolic toward a steady state.

Equivalent for any Tr

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Diffusion System

Time step is O(h) for Tr = O(1).

Eigenvalues are real:

Waves travelling to the left and right at the same finite speed.

E.g., Upwind scheme for diffusion:

CFL condition:

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Advection-Diffusion System

Tr is derived by requiring: Tr = Lr / eigenvalue:

Lr is derived by optimizing the condition number of the system:

Eigenvalues:

The FOS advection-diffusion system is completely defined, in the differential level with Tr = (1).

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O(h) Time Step

Time step restriction for FOS-based schemes(CFL Condition):

O(h) Time Step for all Reynolds numbers.

Time step restriction for a common scheme:

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O(h) Time Step and IterationsNumber of time steps to reach a steady state:

----- > Iterative solver with O(N) convergence.

Jacobi iteration is as fast as Krylov-subspace methods.

Two Dimensions:

Three Dimensions:

O(h) time step also for two and three dimensions.

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Whatever the discretization1. One Scheme for Advection-Diffusion System:

Hyperbolic scheme for the whole advection-diffusion system.

2. Uniform Accuracy for ALL Reynolds Numbers: No need to combine two different schemes (advection and diffusio

n).

3. O(h) Time Step for ALL Reynolds Numbers Rapid convergence to a steady state by explicit schemes.

4. Accurate Solution Gradient (Diffusive Fluxes): Same order of accuracy as the main variables. Boundary conditions made simple (Neumann -> Dirichlet).

5. Various Other Techniques Available: Techniques for advection apply directly to advection-diffusion.

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Advection-Diffusion Scheme

Upwind Residual-Distribution Scheme:

These schemes gives an identical 3-point finite-difference formula, and 2nd-order accurate at a steady state.

Upwind Finite-Volume Scheme:

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2D Finite-Difference Scheme

Simply apply the 1D scheme in each dimension.

Dimension by dimension decomposition:

2D Advection-Diffusion System:

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2D Fast Laplace Solver

In the diffusion limit, the 2D FD scheme reduces to

Jacobi iteration scheme with convergence

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Upwind Scheme for Triangular Grid

Just make sure that accuracy is obtained at a steady state.

Upwind Residual-Distribution Scheme:

Upwind Finite-Volume Scheme:

Not implemented in this work. But it is straightforward to apply any discretization scheme to the 2D system.

LDA scheme

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1D Test Problem

Problem:with u(0)=0 and u(1)=1, and the source term,

Stretched Grids: 33, 65, 129, 257 points.

Re = 10^k, k = -3, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 3.

CFL = 0.99, Forward Euler time-stepping.

Residual reduction by 5 orders of magnitude

p is NOT given but computed on the boundary.

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1D Convergence Results

The number of iterations (time steps) to reach the steady state:

The number of iteration is nearly independent of the Reynolds number.

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1D Convergence ResultsComparison with a scalar scheme:

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1D Accuracy Results

L_infinity norm of the errors:

2nd-Order accurate for both u and p for all Reynolds numbers.

Error of the solution, u Error of the gradient, p

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2D Problem

10 orders of magnitude reduction in residuals.

17x17, 33x33, 65x65 17x17, 24x24, 33x33, 41x41, 49x49, 57x57, 65x65

Problem:with u (and either p or q) given on the boundary.

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2D Convergence Results

Number of iterations (time steps) to reach the steady state:

Number of iterations is almost independent of the Reynolds numbers.

Structured Grids Unstructured Grids

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2D Accuracy ResultsL_infinity norm of the errors for Structured grid case:

2nd-Order accurate for both u and p for all Reynolds numbers.

Error of the solution, u Error of p (=ux) Error of q (=uy)

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2D Accuracy ResultsL_1 norm of the errors for Unstructured grid case:

2nd-Order accurate for both u and p for all Reynolds numbers.

Error of the solution, u Error of p (=ux) Error of q (=uy)

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Future Navier-Stokes Schemes

1. One Scheme for the Navier-Stokes System: Hyperbolic scheme for the whole Navier-Stokes system.

2. Uniform Accuracy for ALL Reynolds Numbers: No need to combine two different (inviscid and viscous) methods.

3. O(h) Time Step for ALL Reynolds Numbers Rapid convergence to a steady state by explicit schemes.

4. Accurate Viscous Stresses/ Heat Fluxes: Same order of accuracy as the main variables. Boundary conditions made simple (Neumann -> Dirichlet).

5. Various Techniques Directly Applicable to NS: Techniques for the Euler apply directly to the Navier-Stokes.

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First-Order Navier-Stokes System

Finite-volume, Finite-element, Residual-distribution, etc.