m_perturbation Module Reference

This module contains subroutines that compute perturbations to the initial mean flow fields. More...

Functions/Subroutines
impure subroutine	s_initialize_perturbation_module ()
impure subroutine	s_perturb_sphere (q_prim_vf)
impure subroutine	s_perturb_surrounding_flow (q_prim_vf)
impure subroutine	s_elliptic_smoothing (q_prim_vf, bc_type)
subroutine	s_perturb_simplex (q_prim_vf)
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)
real(wp) function, dimension(3)	f_unit_vector (theta, eta)
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)
impure subroutine	s_finalize_perturbation_module ()

Variables
real(wp), dimension(:, :, :, :), allocatable	q_prim_temp

Detailed Description

This module contains subroutines that compute perturbations to the initial mean flow fields.

Function/Subroutine Documentation

f_unit_vector()

real(wp) function, dimension(3) m_perturbation::f_unit_vector	(	real(wp), intent(in)	theta,
		real(wp), intent(in)	eta )

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modmul()

integer function m_perturbation::modmul

(

integer, intent(in)

a

)

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s_elliptic_smoothing()

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 )

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s_finalize_perturbation_module()

impure subroutine m_perturbation::s_finalize_perturbation_module

s_generate_random_perturbation()

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 )

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s_initialize_perturbation_module()

impure subroutine m_perturbation::s_initialize_perturbation_module

s_perturb_mixlayer()

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).

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s_perturb_simplex()

subroutine m_perturbation::s_perturb_simplex

(

type(scalar_field), dimension(sys_size), intent(inout)

q_prim_vf

)

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s_perturb_sphere()

impure subroutine m_perturbation::s_perturb_sphere

(

type(scalar_field), dimension(sys_size), intent(inout)

q_prim_vf

)

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s_perturb_surrounding_flow()

impure subroutine m_perturbation::s_perturb_surrounding_flow

(

type(scalar_field), dimension(sys_size), intent(inout)

q_prim_vf

)

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s_prng()

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.

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Variable Documentation

q_prim_temp

real(wp), dimension(:, :, :, :), allocatable m_perturbation::q_prim_temp