cs_gradient_perio.h File Reference

#include "cs_base.h"
#include "cs_field.h"

Include dependency graph for cs_gradient_perio.h:

Go to the source code of this file.

Functions
void	CS_PROCF (permas, PERMAS)(const cs_int_t *iappel
void	CS_PROCF (perinr, PERINR)(const cs_int_t *const imrgra
void	cs_gradient_perio_initialize (void)
	Initialize gradient rotational periodicity computation API. More...
void	cs_gradient_perio_finalize (void)
	Finalize gradient rotational periodicity computation API. More...
void	cs_gradient_perio_update_mesh (void)
	Update gradient rotational periodicity computation API in case of mesh modification. More...
void	cs_gradient_perio_init_rij (const cs_field_t *f, int *tr_dim, cs_real_3_t grad[])
	Initialize ghost cell values for Reynolds stress tensor gradient. More...
void	cs_gradient_perio_init_rij_tensor (int *tr_dim, cs_real_63_t grad[])
	Initialize ghost cell values for Reynolds stress tensor gradient. More...
void	cs_gradient_perio_process_rij (const cs_int_t *f_id, cs_real_3_t grad[])
	Process grad buffers in case of rotation on Reynolds stress tensor. More...

Variables
void cs_real_t	rom []
void const cs_int_t *const	iwarnp
void const cs_int_t *const const cs_real_t *const	epsrgp
void const cs_int_t *const const cs_real_t *const const cs_real_t *const	extrap

Function Documentation

cs_gradient_perio_finalize()

void cs_gradient_perio_finalize

(

void

)

Finalize gradient rotational periodicity computation API.

cs_gradient_perio_init_rij()

void cs_gradient_perio_init_rij	(	const cs_field_t *	f,
		int *	tr_dim,
		cs_real_3_t	grad[]
	)

Initialize ghost cell values for Reynolds stress tensor gradient.

We retrieve the gradient given by perinr (phyvar) for the Reynolds stress tensor in a buffer on ghost cells. then we define dpdx, dpdy and dpdz gradient (1 -> n_cells_with_ghosts).

We can't implicitly take into account rotation of a gradient of a tensor variable because we have to know all components.

We set idimtr to 2 for the Reynolds stress tensor.

We assume that is correct to treat periodicities implicitly for the other variables when reconstructing gradients.

Parameters

[in]	f	pointer to field
[out]	tr_dim	2 for tensor (Rij) in case of rotation, 0 otherwise
[in,out]	grad	gradient of field

cs_gradient_perio_init_rij_tensor()

void cs_gradient_perio_init_rij_tensor	(	int *	tr_dim,
		cs_real_63_t	grad[]
	)

Initialize ghost cell values for Reynolds stress tensor gradient.

We retrieve the gradient given by perinr (phyvar) for the Reynolds stress tensor in a buffer on ghost cells. then we define dpdx, dpdy and dpdz gradient (1 -> n_cells_with_ghosts).

We can't implicitly take into account rotation of a gradient of a tensor variable because we have to know all components.

We set idimtr to 2 for the Reynolds stress tensor.

We assume that is correct to treat periodicities implicitly for the other variables when reconstructing gradients.

Parameters

[out]	tr_dim	2 for tensor (Rij) in case of rotation, 0 otherwise
[in,out]	grad	gradient of field

cs_gradient_perio_initialize()

void cs_gradient_perio_initialize

(

void

)

Initialize gradient rotational periodicity computation API.

cs_gradient_perio_process_rij()

void cs_gradient_perio_process_rij	(	const cs_int_t *	f_id,
		cs_real_3_t	grad[]
	)

Process grad buffers in case of rotation on Reynolds stress tensor.

Process grad buffers in case of rotation on Reynolds stress tensor.

We retrieve the gradient given by cs_gradient_perio_init_rij (phyvar) for the Reynolds stress tensor in a buffer on ghost cells. Then we define grad gradient (1 -> n_cells_with_ghosts).

We can't implicitly take into account rotation of a gradient of a tensor variable because we have to know all components.

We assume that is correct to treat periodicities implicitly for the other variables when reconstructing gradients.

parameters: f_id <– field index grad --> gradient of field

size of _drdxyz and _wdrdxy = n_ghost_cells*6*3

We retrieve the gradient given by cs_gradient_perio_init_rij (phyvar) for the Reynolds stress tensor in a buffer on ghost cells. Then we define grad gradient (1 -> n_cells_with_ghosts).

We can't implicitly take into account rotation of a gradient of a tensor variable because we have to know all components.

We assume that is correct to treat periodicities implicitly for the other variables when reconstructing gradients.

Parameters

[in]	f_id	field index
[in,out]	grad	gradient of field

size of _drdxyz and _wdrdxy = n_ghost_cells*6*3

cs_gradient_perio_update_mesh()

void cs_gradient_perio_update_mesh

(

void

)

Update gradient rotational periodicity computation API in case of mesh modification.

CS_PROCF() [1/2]

void CS_PROCF	(	perinr	,
		PERINR
	)		const

CS_PROCF() [2/2]

void CS_PROCF	(	permas	,
		PERMAS
	)		const

Variable Documentation

epsrgp

void const cs_int_t* const const cs_real_t* const epsrgp

extrap

void const cs_int_t* const const cs_real_t* const const cs_real_t* const extrap

iwarnp

void const cs_int_t* const iwarnp

rom

void cs_real_t rom[]