Update the RANS (k-kL) equation with LU-SGS
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| real(kind=wp), | intent(inout), | dimension(-2:dims%imx+2, -2:dims%jmx+2, -2:dims%kmx+2, 1:dims%n_var) | :: | qp | Store primitive variable at cell center |
|
| real(kind=wp), | intent(in), | dimension(:, :, :, :) | :: | residue | Store residue at each cell-center |
|
| real(kind=wp), | intent(in), | dimension(1:dims%imx-1, 1:dims%jmx-1, 1:dims%kmx-1) | :: | delta_t | Local time increment value at each cell center |
|
| type(celltype), | intent(in), | dimension(-2:dims%imx+2,-2:dims%jmx+2,-2:dims%kmx+2) | :: | cells | Input cell quantities: volume |
|
| type(facetype), | intent(in), | dimension(-2:dims%imx+3,-2:dims%jmx+2,-2:dims%kmx+2) | :: | Ifaces | Input varaible which stores I faces' area and unit normal |
|
| type(facetype), | intent(in), | dimension(-2:dims%imx+2,-2:dims%jmx+3,-2:dims%kmx+2) | :: | Jfaces | Input varaible which stores J faces' area and unit normal |
|
| type(facetype), | intent(in), | dimension(-2:dims%imx+2,-2:dims%jmx+2,-2:dims%kmx+3) | :: | Kfaces | Input varaible which stores K faces' area and unit normal |
|
| type(extent), | intent(in) | :: | dims | Extent of the domain:imx,jmx,kmx |
subroutine update_KKL_variables(qp, residue, delta_t, cells, Ifaces, Jfaces, Kfaces, dims)
!< Update the RANS (k-kL) equation with LU-SGS
implicit none
type(extent), intent(in) :: dims
!< Extent of the domain:imx,jmx,kmx
real(wp), dimension(-2:dims%imx+2, -2:dims%jmx+2, -2:dims%kmx+2, 1:dims%n_var), intent(inout):: qp
!< Store primitive variable at cell center
real(wp) , dimension(1:dims%imx-1, 1:dims%jmx-1, 1:dims%kmx-1), intent(in) :: delta_t
!< Local time increment value at each cell center
real(wp), dimension(:, :, :, :), intent(in) :: residue
!< Store residue at each cell-center
type(celltype), dimension(-2:dims%imx+2,-2:dims%jmx+2,-2:dims%kmx+2), intent(in) :: cells
!< Input cell quantities: volume
type(facetype), dimension(-2:dims%imx+3,-2:dims%jmx+2,-2:dims%kmx+2), intent(in) :: Ifaces
!< Input varaible which stores I faces' area and unit normal
type(facetype), dimension(-2:dims%imx+2,-2:dims%jmx+3,-2:dims%kmx+2), intent(in) :: Jfaces
!< Input varaible which stores J faces' area and unit normal
type(facetype), dimension(-2:dims%imx+2,-2:dims%jmx+2,-2:dims%kmx+3), intent(in) :: Kfaces
!< Input varaible which stores K faces' area and unit normal
integer :: i,j,k
real(wp), dimension(1:7) :: deltaU
real(wp), dimension(1:7) :: D
real(wp), dimension(1:7) :: conservativeQ
real(wp), dimension(1:7) :: OldIminusFlux
real(wp), dimension(1:7) :: OldJminusFlux
real(wp), dimension(1:7) :: OldKminusFlux
real(wp), dimension(1:7) :: NewIminusFlux
real(wp), dimension(1:7) :: NewJminusFlux
real(wp), dimension(1:7) :: NewKminusFlux
real(wp), dimension(1:7) :: DelIminusFlux
real(wp), dimension(1:7) :: DelJminusFlux
real(wp), dimension(1:7) :: DelKminusFlux
real(wp), dimension(1:6) :: LambdaTimesArea
real(wp), dimension(1:7) :: Q0 ! state at cell
real(wp), dimension(1:7) :: Q1 ! state at neighbours
real(wp), dimension(1:7) :: Q2
real(wp), dimension(1:7) :: Q3
real(wp), dimension(1:7) :: Q4
real(wp), dimension(1:7) :: Q5
real(wp), dimension(1:7) :: Q6
real(wp), dimension(1:7) :: DQ0! change in state
real(wp), dimension(1:7) :: DQ1
real(wp), dimension(1:7) :: DQ2
real(wp), dimension(1:7) :: DQ3
real(wp), dimension(1:7) :: DQ4
real(wp), dimension(1:7) :: DQ5
real(wp), dimension(1:7) :: DQ6
real(wp), dimension(1:7) :: Flist1
real(wp), dimension(1:7) :: Flist2
real(wp), dimension(1:7) :: Flist3
real(wp), dimension(1:7) :: Flist4
real(wp), dimension(1:7) :: Flist5
real(wp), dimension(1:7) :: Flist6
real(wp), dimension(1:3) :: C0
real(wp), dimension(1:3) :: C1
real(wp), dimension(1:3) :: C2
real(wp), dimension(1:3) :: C3
real(wp), dimension(1:3) :: C4
real(wp), dimension(1:3) :: C5
real(wp), dimension(1:3) :: C6
!intialize delQ
delQstar = 0.0
!forward sweep
do k=1,dims%kmx-1
do j=1,dims%jmx-1
do i=1,dims%imx-1
C0 = (/Cells(i ,j ,k )%Centerx,Cells(i ,j ,k )%Centery,Cells(i ,j ,k )%Centerz/)
C1 = (/Cells(i-1,j ,k )%Centerx,Cells(i-1,j ,k )%Centery,Cells(i-1,j ,k )%Centerz/)
C2 = (/Cells(i ,j-1,k )%Centerx,Cells(i ,j-1,k )%Centery,Cells(i ,j-1,k )%Centerz/)
C3 = (/Cells(i ,j ,k-1)%Centerx,Cells(i ,j ,k-1)%Centery,Cells(i ,j ,k-1)%Centerz/)
C4 = (/Cells(i+1,j ,k )%Centerx,Cells(i+1,j ,k )%Centery,Cells(i+1,j ,k )%Centerz/)
C5 = (/Cells(i ,j+1,k )%Centerx,Cells(i ,j+1,k )%Centery,Cells(i ,j+1,k )%Centerz/)
C6 = (/Cells(i ,j ,k+1)%Centerx,Cells(i ,j ,k+1)%Centery,Cells(i ,j ,k+1)%Centerz/)
Q0 = qp(i , j , k , 1:7)
Q1 = qp(i-1, j , k , 1:7)
Q2 = qp(i , j-1, k , 1:7)
Q3 = qp(i , j , k-1, 1:7)
Q4 = qp(i+1, j , k , 1:7)
Q5 = qp(i , j+1, k , 1:7)
Q6 = qp(i , j , k+1, 1:7)
DQ0 = 0.0
DQ1 = delQstar(i-1, j , k , 1:7)
DQ2 = delQstar(i , j-1, k , 1:7)
DQ3 = delQstar(i , j , k-1, 1:7)
Flist1(1) = Ifaces(i,j,k)%A
Flist1(2) = -Ifaces(i,j,k)%nx
Flist1(3) = -Ifaces(i,j,k)%ny
Flist1(4) = -Ifaces(i,j,k)%nz
Flist1(5) = 0.5*(cells(i-1, j , k )%volume + cells(i,j,k)%volume)
Flist1(6) = 0.5*( mmu(i-1, j , k ) + mmu(i,j,k))
Flist1(7) = 0.5*( tmu(i-1, j , k ) + tmu(i,j,k))
Flist2(1) = Jfaces(i,j,k)%A
Flist2(2) = -Jfaces(i,j,k)%nx
Flist2(3) = -Jfaces(i,j,k)%ny
Flist2(4) = -Jfaces(i,j,k)%nz
Flist2(5) = 0.5*(cells(i , j-1, k )%volume + cells(i,j,k)%volume)
Flist2(6) = 0.5*( mmu(i , j-1, k ) + mmu(i,j,k))
Flist2(7) = 0.5*( tmu(i , j-1, k ) + tmu(i,j,k))
Flist3(1) = Kfaces(i,j,k)%A
Flist3(2) = -Kfaces(i,j,k)%nx
Flist3(3) = -Kfaces(i,j,k)%ny
Flist3(4) = -Kfaces(i,j,k)%nz
Flist3(5) = 0.5*(cells(i , j , k-1)%volume + cells(i,j,k)%volume)
Flist3(6) = 0.5*( mmu(i , j , k-1) + mmu(i,j,k))
Flist3(7) = 0.5*( tmu(i , j , k-1) + tmu(i,j,k))
Flist4(1) = Ifaces(i+1,j,k)%A
Flist4(2) = +Ifaces(i+1,j,k)%nx
Flist4(3) = +Ifaces(i+1,j,k)%ny
Flist4(4) = +Ifaces(i+1,j,k)%nz
Flist4(5) = 0.5*(cells(i+1, j , k )%volume + cells(i,j,k)%volume)
Flist4(6) = 0.5*( mmu(i+1, j , k ) + mmu(i,j,k))
Flist4(7) = 0.5*( tmu(i+1, j , k ) + tmu(i,j,k))
Flist5(1) = Jfaces(i,j+1,k)%A
Flist5(2) = +Jfaces(i,j+1,k)%nx
Flist5(3) = +Jfaces(i,j+1,k)%ny
Flist5(4) = +Jfaces(i,j+1,k)%nz
Flist5(5) = 0.5*(cells(i , j+1, k )%volume + cells(i,j,k)%volume)
Flist5(6) = 0.5*( mmu(i , j+1, k ) + mmu(i,j,k))
Flist5(7) = 0.5*( tmu(i , j+1, k ) + tmu(i,j,k))
Flist6(1) = Kfaces(i,j,k+1)%A
Flist6(2) = +Kfaces(i,j,k+1)%nx
Flist6(3) = +Kfaces(i,j,k+1)%ny
Flist6(4) = +Kfaces(i,j,k+1)%nz
Flist6(5) = 0.5*(cells(i , j , k+1)%volume + cells(i,j,k)%volume)
Flist6(6) = 0.5*( mmu(i , j , k+1) + mmu(i,j,k))
Flist6(7) = 0.5*( tmu(i , j , k+1) + tmu(i,j,k))
NewIminusFlux = KKLFlux(Q1, Q0, DQ1, Flist1)
NewJminusFlux = KKLFlux(Q2, Q0, DQ2, Flist2)
NewKminusFlux = KKLFlux(Q3, Q0, DQ3, Flist3)
OldIminusFlux = KKLFlux(Q1, Q0, DQ0, Flist1)
OldJminusFlux = KKLFlux(Q2, Q0, DQ0, Flist2)
OldKminusFlux = KKLFlux(Q3, Q0, DQ0, Flist3)
LambdaTimesArea(1)= SpectralRadius(Q1, Q0, Flist1, C1, C0)
LambdaTimesArea(2)= SpectralRadius(Q2, Q0, Flist2, C2, C0)
LambdaTimesArea(3)= SpectralRadius(Q3, Q0, Flist3, C3, C0)
LambdaTimesArea(4)= SpectralRadius(Q4, Q0, Flist4, C4, C0)
LambdaTimesArea(5)= SpectralRadius(Q5, Q0, Flist5, C5, C0)
LambdaTimesArea(6)= SpectralRadius(Q6, Q0, Flist6, C6, C0)
! multiply above flux with area to get correct values
DelIminusFlux = NewIminusFlux - OldIminusFlux
DelJminusFlux = NewJminusFlux - OldJminusFlux
DelKminusFlux = NewKminusFlux - OldKminusFlux
D = (cells(i,j,k)%volume/delta_t(i,j,k)) + 0.5*SUM(LambdaTimesArea)
D(6) = D(6) + (2.5*(cmu**(0.75))*Q0(1)*(Q0(6)**(1.5))*cells(i,j,k)%volume/Q0(7))
D(6) = D(6) + (2*mmu(i,j,k)*cells(i,j,k)%volume/(dist(i,j,k)**2))
D(7) = D(7) + (6*mmu(i,j,k)*cells(i,j,k)%volume/(dist(i,j,k)**2))
!storing D in Iflux array for backward sweep
!F_p(i,j,k,1) = D
deltaU(1:7) = -residue(i,j,k,1:7) &
- 0.5*((DelIminusFlux - LambdaTimesArea(1)*delQstar(i-1,j,k,1:7)) &
+ (DelJminusFlux - LambdaTimesArea(2)*delQstar(i,j-1,k,1:7)) &
+ (DelKminusFlux - LambdaTimesArea(3)*delQstar(i,j,k-1,1:7)) )
delQstar(i,j,k,1:7) = deltaU(1:7)/D
end do
end do
end do
delQ=0.0
!backward sweep
do i=dims%imx-1,1,-1
do j=dims%jmx-1,1,-1
do k=dims%kmx-1,1,-1
C0 = (/Cells(i ,j ,k )%Centerx,Cells(i ,j ,k )%Centery,Cells(i ,j ,k )%Centerz/)
C1 = (/Cells(i-1,j ,k )%Centerx,Cells(i-1,j ,k )%Centery,Cells(i-1,j ,k )%Centerz/)
C2 = (/Cells(i ,j-1,k )%Centerx,Cells(i ,j-1,k )%Centery,Cells(i ,j-1,k )%Centerz/)
C3 = (/Cells(i ,j ,k-1)%Centerx,Cells(i ,j ,k-1)%Centery,Cells(i ,j ,k-1)%Centerz/)
C4 = (/Cells(i+1,j ,k )%Centerx,Cells(i+1,j ,k )%Centery,Cells(i+1,j ,k )%Centerz/)
C5 = (/Cells(i ,j+1,k )%Centerx,Cells(i ,j+1,k )%Centery,Cells(i ,j+1,k )%Centerz/)
C6 = (/Cells(i ,j ,k+1)%Centerx,Cells(i ,j ,k+1)%Centery,Cells(i ,j ,k+1)%Centerz/)
Q0 = qp(i , j , k , 1:7)
Q1 = qp(i-1, j , k , 1:7)
Q2 = qp(i , j-1, k , 1:7)
Q3 = qp(i , j , k-1, 1:7)
Q4 = qp(i+1, j , k , 1:7)
Q5 = qp(i , j+1, k , 1:7)
Q6 = qp(i , j , k+1, 1:7)
DQ0 = 0.0
DQ4 = delQ(i+1, j , k , 1:7)
DQ5 = delQ(i , j+1, k , 1:7)
DQ6 = delQ(i , j , k+1, 1:7)
Flist1(1) = Ifaces(i,j,k)%A
Flist1(2) = -Ifaces(i,j,k)%nx
Flist1(3) = -Ifaces(i,j,k)%ny
Flist1(4) = -Ifaces(i,j,k)%nz
Flist1(5) = 0.5*(cells(i-1, j , k )%volume + cells(i,j,k)%volume)
Flist1(6) = 0.5*( mmu(i-1, j , k ) + mmu(i,j,k))
Flist1(7) = 0.5*( tmu(i-1, j , k ) + tmu(i,j,k))
Flist2(1) = Jfaces(i,j,k)%A
Flist2(2) = -Jfaces(i,j,k)%nx
Flist2(3) = -Jfaces(i,j,k)%ny
Flist2(4) = -Jfaces(i,j,k)%nz
Flist2(5) = 0.5*(cells(i , j-1, k )%volume + cells(i,j,k)%volume)
Flist2(6) = 0.5*( mmu(i , j-1, k ) + mmu(i,j,k))
Flist2(7) = 0.5*( tmu(i , j-1, k ) + tmu(i,j,k))
Flist3(1) = Kfaces(i,j,k)%A
Flist3(2) = -Kfaces(i,j,k)%nx
Flist3(3) = -Kfaces(i,j,k)%ny
Flist3(4) = -Kfaces(i,j,k)%nz
Flist3(5) = 0.5*(cells(i , j , k-1)%volume + cells(i,j,k)%volume)
Flist3(6) = 0.5*( mmu(i , j , k-1) + mmu(i,j,k))
Flist3(7) = 0.5*( tmu(i , j , k-1) + tmu(i,j,k))
Flist4(1) = Ifaces(i+1,j,k)%A
Flist4(2) = +Ifaces(i+1,j,k)%nx
Flist4(3) = +Ifaces(i+1,j,k)%ny
Flist4(4) = +Ifaces(i+1,j,k)%nz
Flist4(5) = 0.5*(cells(i+1, j , k )%volume + cells(i,j,k)%volume)
Flist4(6) = 0.5*( mmu(i+1, j , k ) + mmu(i,j,k))
Flist4(7) = 0.5*( tmu(i+1, j , k ) + tmu(i,j,k))
Flist5(1) = Jfaces(i,j+1,k)%A
Flist5(2) = +Jfaces(i,j+1,k)%nx
Flist5(3) = +Jfaces(i,j+1,k)%ny
Flist5(4) = +Jfaces(i,j+1,k)%nz
Flist5(5) = 0.5*(cells(i , j+1, k )%volume + cells(i,j,k)%volume)
Flist5(6) = 0.5*( mmu(i , j+1, k ) + mmu(i,j,k))
Flist5(7) = 0.5*( tmu(i , j+1, k ) + tmu(i,j,k))
Flist6(1) = Kfaces(i,j,k+1)%A
Flist6(2) = +Kfaces(i,j,k+1)%nx
Flist6(3) = +Kfaces(i,j,k+1)%ny
Flist6(4) = +Kfaces(i,j,k+1)%nz
Flist6(5) = 0.5*(cells(i , j , k+1)%volume + cells(i,j,k)%volume)
Flist6(6) = 0.5*( mmu(i , j , k+1) + mmu(i,j,k))
Flist6(7) = 0.5*( tmu(i , j , k+1) + tmu(i,j,k))
NewIminusFlux = KKLFlux(Q4, Q0, DQ4, Flist4)
NewJminusFlux = KKLFlux(Q5, Q0, DQ5, Flist5)
NewKminusFlux = KKLFlux(Q6, Q0, DQ6, Flist6)
OldIminusFlux = KKLFlux(Q4, Q0, DQ0, Flist4)
OldJminusFlux = KKLFlux(Q5, Q0, DQ0, Flist5)
OldKminusFlux = KKLFlux(Q6, Q0, DQ0, Flist6)
LambdaTimesArea(1)= SpectralRadius(Q1, Q0, Flist1, C1, C0)
LambdaTimesArea(2)= SpectralRadius(Q2, Q0, Flist2, C2, C0)
LambdaTimesArea(3)= SpectralRadius(Q3, Q0, Flist3, C3, C0)
LambdaTimesArea(4)= SpectralRadius(Q4, Q0, Flist4, C4, C0)
LambdaTimesArea(5)= SpectralRadius(Q5, Q0, Flist5, C5, C0)
LambdaTimesArea(6)= SpectralRadius(Q6, Q0, Flist6, C6, C0)
! multiply above flux with area to get correct values
DelIminusFlux = NewIminusFlux - OldIminusFlux
DelJminusFlux = NewJminusFlux - OldJminusFlux
DelKminusFlux = NewKminusFlux - OldKminusFlux
D = (cells(i,j,k)%volume/delta_t(i,j,k)) + 0.5*SUM(LambdaTimesArea)
D(6) = D(6) + (2.5*(cmu**(0.75))*Q0(1)*(Q0(6)**(1.5))*cells(i,j,k)%volume/Q0(7))
D(6) = D(6) + (2*mmu(i,j,k)*cells(i,j,k)%volume/(dist(i,j,k)**2))
D(7) = D(7) + (6*mmu(i,j,k)*cells(i,j,k)%volume/(dist(i,j,k)**2))
delQ(i,j,k,1:7) = delQstar(i,j,k,1:7) &
- 0.5*((DelIminusFlux - LambdaTimesArea(4)*delQ(i+1,j,k,1:7)) &
+ (DelJminusFlux - LambdaTimesArea(5)*delQ(i,j+1,k,1:7)) &
+ (DelKminusFlux - LambdaTimesArea(6)*delQ(i,j,k+1,1:7)) )/D
end do
end do
end do
do k=1,dims%kmx-1
do j = 1,dims%jmx-1
do i = 1,dims%imx-1
conservativeQ(1) = qp(i,j,k,1)
conservativeQ(2) = qp(i,j,k,1) * qp(i,j,k,2)
conservativeQ(3) = qp(i,j,k,1) * qp(i,j,k,3)
conservativeQ(4) = qp(i,j,k,1) * qp(i,j,k,4)
conservativeQ(5) = (qp(i,j,k,5) / (gm-1.0)) + ( 0.5 * qp(i,j,k,1) * sum( qp(i,j,k,2:4)**2) )
conservativeQ(6) = qp(i,j,k,1) * qp(i,j,k,6)
conservativeQ(7) = qp(i,j,k,1) * qp(i,j,k,7)
! add new change into conservative solution
conservativeQ(1:7) = conservativeQ(1:7) + delQ(i,j,k,1:7)
! convert back conservative to primitive
qp(i,j,k,1) = conservativeQ(1)
qp(i,j,k,2) = conservativeQ(2) / conservativeQ(1)
qp(i,j,k,3) = conservativeQ(3) / conservativeQ(1)
qp(i,j,k,4) = conservativeQ(4) / conservativeQ(1)
qp(i,j,k,5) = (gm-1.0) * ( conservativeQ(5) - (0.5 * sum(conservativeQ(2:4)**2) / conservativeQ(1)) )
qp(i,j,k,6) = conservativeQ(6) / conservativeQ(1)
qp(i,j,k,7) = conservativeQ(7) / conservativeQ(1)
qp(i,j,k,6) = max(qp(i,j,k,6), 1.e-8)
qp(i,j,k,7) = max(qp(i,j,k,7), 1.e-8)
end do
end do
end do
end subroutine update_KKL_variables