Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Chunlei Liang 1 1 Assistant Professor, George Washington University Applied and Computational Mathematics Division seminar series at NIST in Gaithersburg, MD on Oct. 18th, 2011 1/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Outline Motivation 1 Why spectral difference method? 2 Element-wise polynomial reconstruction High-order accuracy even with curved boundary Mathematical Formulation 3 Transform Navier-Stokes and Micropolar equations 4 Elements of the SD method 5 Verification 6 Flow past an oscillating cylinder 7 Flow around a heaving and pitching airfoil past an oscillating 8 cylinder Concluding remark 9 2/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Motivation Sea turtle swimming Four flippers Front flippers for thrust generation. Back flipper for steering. 3/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Motivation Oscillating wing wind- and hydro- power generator Hydrodynamically controlled wing Aerohydro Research and Technology Associates. 4/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Motivation Plunge-Pitch airfoil for lift generation 5/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Why spectral difference method? Element-wise polynomial reconstruction p-refinement No re-meshing 6/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Why spectral difference method? Element-wise polynomial reconstruction p-refinement No re-meshing Poor boundary representation 6/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Why spectral difference method? High-order accuracy even with curved boundary element mapping with high-order curved boundary ∂ ( x, y, t ) J = ∂ ( ξ, η, τ ) x ξ x η x τ (1) = y ξ y η y τ 0 0 1 Key Universal reconstruction 7/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Why spectral difference method? High-order accuracy even with curved boundary High-order scheme is attractive for vortex dominated flow 4th order SD 2nd order SD 8/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Mathematical Formulation Compressible Navier-Stokes equations ∂ Q ∂t + ∇ F inv ( Q ) − ∇ F v ( Q , ∇ Q ) = 0 (2) ρ ρu ρv ρu 2 + p ρu ρuv Q = , f i = , g i = (3) ρv 2 + p ρv ρuv E u ( E + p ) v ( E + p ) 0 0 f v 2 u x + λ ( u x + v y ) , g v v x + u y µ = µ = v x + u y 2 v y + λ ( u x + v y ) uf v [2] + vf v [3] + C p ug v [2] + vg v [3] + C p P r T x P r T y 9/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Mathematical Formulation Linear constitutive relation t ij = ( − p + λa mm ) δ ij + ( µ + κ ) a ij + µa ji (4) For Navier-Stokes equations, a ij = v j,i ; Micropolar formulation has two deformation tensors a ij = v j,i + e jik ω k ; b ij = ω i,j . The same linear relation for heat flux in both N-S and Micropolar formulations, i.e. Fourier’s Law: σ = ν Pr · gradT. (5) Pressure-Energy Relation: 2 ρ ( u 2 + v 2 ) for Navier-Stokes formulation; γ − 1 + 1 p E = 2 ρ ( u 2 + v 2 ) + 1 2 ρjω 2 for Micropolar formulation. γ − 1 + 1 p E = 10/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Mathematical Formulation Micropolar formulation ∂ Q ∂t + ∇ F inv ( Q ) − ∇ F v ( Q , ∇ Q ) = S (6) ρ ρu ρv ρu 2 + p ρu ρuv ρv 2 + p Q = ρv , f i = ρuv , g i = (7) ρjω ρjωu ρjωv E u ( E + p ) v ( E + p ) 0 0 0 S = (8) � � ∂v y ∂x − ∂v x κ ∂y − 2 ω 0 11/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Mathematical Formulation Viscous fluxes of Micropolar equations 0 (2 µ + κ ) u x + λ ( u x + v y ) µ ( v x + u y ) + κ ( v x − ω ) f v = (9) Γ ω x uf v [2] + vf v [3] + ωf v [4] + µC p P r T x µ ( v x + u y ) + κ ( u y + ω ) (2 µ + κ ) v y + λ ( u x + v y ) g v ( Q , ∇ Q ) = (10) Γ ω y ug v [2] + vg v [3] + ωg v [4] + µC p P r T y Ref: Chen, Lee, Liang (2011), JNFM; Chen, Liang, Lee (2011), JNN. 12/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Transform Navier-Stokes and Micropolar equations Transform conservative equations ∂F/∂x = ∂F/∂ξ · ∂ξ/∂ x + ∂F/∂η · ∂η/∂ x + ∂F/∂τ · ∂τ/∂ x (11) ∂G/∂y = ∂G/∂ξ · ∂ξ/∂ y + ∂G/∂η · ∂η/∂ y + ∂G/∂τ · ∂τ/∂ y (12) ˜ Q = |J | · Q ˜ F ξ x ξ y ξ τ F ˜ = |J | G η x η y η τ G ˜ 0 0 1 Q Q 13/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Transform Navier-Stokes and Micropolar equations Transformed conservative equations + Geometric conservation law ∂ ˜ ∂τ + ∂ ˜ ∂ξ + ∂ ˜ Q F G ∂η = 0 (13) ∂ |J | + ∂ ( |J | ξ t ) + ∂ ( |J | η t ) = 0 (14) ∂τ ∂ξ ∂η Final set of equations � � �� ∂ ˜ ∂ξ + ∂ ˜ ∂Q 1 � ∂ ( |J | ξ t ) + ∂ ( |J | η t ) � F G = Q − (15) . ∂τ |J | ∂ξ ∂η ∂η A five-stage fourth-order Runge-Kutta method for time advancement. 14/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Locating flux and solution points ∂ ˜ ∂τ + ∂ ˜ ∂ξ + ∂ ˜ Q F G ∂η = 0 Figure: Solution and flux points for a fourth-order SD scheme 15/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Locating flux and solution points ∂ ˜ ∂τ + ∂ ˜ ∂ξ + ∂ ˜ Q F G ∂η = 0 solution points store ˜ Q , ξ flux points store ˜ F and η flux points store ˜ G . Figure: Solution and flux points for a fourth-order SD scheme 15/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Locating flux and solution points ∂ ˜ ∂τ + ∂ ˜ ∂ξ + ∂ ˜ Q F G ∂η = 0 solution points store ˜ Q , ξ flux points store ˜ F and η flux points store ˜ G . 4 solution points in 1D Figure: Solution and flux points for a fourth-order SD scheme 15/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Locating flux and solution points ∂ ˜ ∂τ + ∂ ˜ ∂ξ + ∂ ˜ Q F G ∂η = 0 solution points store ˜ Q , ξ flux points store ˜ F and η flux points store ˜ G . 4 solution points in 1D 5 flux points in 1D Figure: Solution and flux points for a fourth-order SD scheme 15/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Locating flux and solution points ∂ ˜ ∂τ + ∂ ˜ ∂ξ + ∂ ˜ Q F G ∂η = 0 solution points store ˜ Q , ξ flux points store ˜ F and η flux points store ˜ G . 4 solution points in 1D 5 flux points in 1D The reconstructed field using polynomials is continuous within the cell but discontinuous across the cell interfaces. Figure: Solution and flux points for a fourth-order SD scheme 15/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Compute interface fluxes Eigenvalues of ∂ F i /∂Q are V n − c , V n , and V n + c for N-S equations. 16/33
Spectral Difference Solution of Unsteady Compressible Micropolar Equations on Moving and Deforming Grids Elements of the SD method Compute interface fluxes Eigenvalues of ∂ F i /∂Q are V n − c , V n , and V n + c for N-S equations. Eigenvalues of ∂ F i /∂Q are V n − c , V n , V n and V n + c for Micropolar equations. 16/33
Recommend
More recommend