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MFC
Exascale flow solver
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MFC
Exascale flow solver
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Perturbs initial mean flow fields with random noise, mixing-layer instabilities, or simplex noise. More...
Functions/Subroutines | |
| impure subroutine | s_initialize_perturbation_module () |
| Allocates the temporary primitive variable array used by elliptic smoothing. | |
| impure subroutine | s_perturb_sphere (q_prim_vf) |
| Randomly perturbs partial density fields at the interface of a spherical volume fraction region. | |
| impure subroutine | s_perturb_surrounding_flow (q_prim_vf) |
| Adds random noise to the velocity and void fraction of the surrounding flow field. | |
| impure subroutine | s_elliptic_smoothing (q_prim_vf, bc_type) |
| Iteratively smooths all primitive variable fields using a discrete elliptic (Laplacian) filter. | |
| subroutine | s_perturb_simplex (q_prim_vf) |
| Perturbs velocity and volume fraction fields using multi-octave simplex noise. | |
| subroutine | s_perturb_mixlayer (q_prim_vf) |
| This subroutine computes velocity perturbations for a temporal mixing layer with a hyperbolic tangent mean streamwise velocity profile, using an inverter version of the spectrum-based synthetic turbulence generation method proposed by Guo et al. (2023, JFM). | |
| subroutine | s_generate_random_perturbation (khat, xi, phi, ik, yloc) |
| Generates deterministic pseudo-random wave vector, polarization, and phase for a perturbation mode. | |
| real(wp) function, dimension(3) | f_unit_vector (theta, eta) |
| Generates a unit vector uniformly distributed on the sphere from two random parameters. | |
| subroutine | s_prng (var, seed) |
| This function generates a pseudo-random number between 0 and 1 based on linear congruential generator. | |
| integer function | modmul (a) |
| Computes a modular multiplication step for the linear congruential pseudo-random number generator. | |
| impure subroutine | s_finalize_perturbation_module () |
| Deallocates the temporary primitive variable array used by elliptic smoothing. | |
Variables | |
| real(wp), dimension(:, :, :, :), allocatable | q_prim_temp |
Perturbs initial mean flow fields with random noise, mixing-layer instabilities, or simplex noise.
| real(wp) function, dimension(3) m_perturbation::f_unit_vector | ( | real(wp), intent(in) | theta, |
| real(wp), intent(in) | eta ) |
Generates a unit vector uniformly distributed on the sphere from two random parameters.
Definition at line 357 of file m_perturbation.fpp.f90.
| integer function m_perturbation::modmul | ( | integer, intent(in) | a | ) |
Computes a modular multiplication step for the linear congruential pseudo-random number generator.
Definition at line 383 of file m_perturbation.fpp.f90.
| impure subroutine m_perturbation::s_elliptic_smoothing | ( | type(scalar_field), dimension(sys_size), intent(inout) | q_prim_vf, |
| type(integer_field), dimension(1:num_dims, 1:2), intent(in) | bc_type ) |
Iteratively smooths all primitive variable fields using a discrete elliptic (Laplacian) filter.
Definition at line 98 of file m_perturbation.fpp.f90.
| impure subroutine m_perturbation::s_finalize_perturbation_module |
Deallocates the temporary primitive variable array used by elliptic smoothing.
Definition at line 395 of file m_perturbation.fpp.f90.
| subroutine m_perturbation::s_generate_random_perturbation | ( | real(wp), dimension(3), intent(out) | khat, |
| real(wp), dimension(3), intent(out) | xi, | ||
| real(wp), intent(out) | phi, | ||
| integer, intent(in) | ik, | ||
| real(wp), intent(in) | yloc ) |
Generates deterministic pseudo-random wave vector, polarization, and phase for a perturbation mode.
Definition at line 332 of file m_perturbation.fpp.f90.
| impure subroutine m_perturbation::s_initialize_perturbation_module |
Allocates the temporary primitive variable array used by elliptic smoothing.
Definition at line 30 of file m_perturbation.fpp.f90.
| subroutine m_perturbation::s_perturb_mixlayer | ( | type(scalar_field), dimension(sys_size), intent(inout) | q_prim_vf | ) |
This subroutine computes velocity perturbations for a temporal mixing layer with a hyperbolic tangent mean streamwise velocity profile, using an inverter version of the spectrum-based synthetic turbulence generation method proposed by Guo et al. (2023, JFM).
Definition at line 252 of file m_perturbation.fpp.f90.
| subroutine m_perturbation::s_perturb_simplex | ( | type(scalar_field), dimension(sys_size), intent(inout) | q_prim_vf | ) |
Perturbs velocity and volume fraction fields using multi-octave simplex noise.
Definition at line 160 of file m_perturbation.fpp.f90.
| impure subroutine m_perturbation::s_perturb_sphere | ( | type(scalar_field), dimension(sys_size), intent(inout) | q_prim_vf | ) |
Randomly perturbs partial density fields at the interface of a spherical volume fraction region.
Definition at line 39 of file m_perturbation.fpp.f90.
| impure subroutine m_perturbation::s_perturb_surrounding_flow | ( | type(scalar_field), dimension(sys_size), intent(inout) | q_prim_vf | ) |
Adds random noise to the velocity and void fraction of the surrounding flow field.
Definition at line 72 of file m_perturbation.fpp.f90.
| subroutine m_perturbation::s_prng | ( | real(wp), intent(out) | var, |
| integer, intent(inout) | seed ) |
This function generates a pseudo-random number between 0 and 1 based on linear congruential generator.
Definition at line 372 of file m_perturbation.fpp.f90.
| real(wp), dimension(:, :, :, :), allocatable m_perturbation::q_prim_temp |
Definition at line 25 of file m_perturbation.fpp.f90.