Variables | |
char * | algo |
char * | est_error_pre_2 |
char * | est_error_der_2 |
char * | est_error_cor_2 |
char * | est_error_tot_2 |
algo |
Fields used to check algorithm behavior.
Fields of the form "algo:<type>_<variable_name>" are reserved by the code to allow visualization of some intermediate computational field values.
If the user creates such a field, and the code calls the matching operator, this field will be updated automatically.
Current reserved fields are:
algo:predicted_velocity
Velocity field after the prediction step, cell-based field of dimension 3. algo:predicted_velocity_divergence
Divergence of the velocity field after the prediction step, cell-based field of dimension 1. algo:pressure_gradient
Pressure gradient, cell-based field of dimension 3. algo:gradient_
supplemented with a transported field name Field gradient, cell-based field of dimension 3x the dimension of the corresponding field. algo:turbulent_flux_production_
supplemented with a transported field name Field corresponding to the production of u'T' if scalar taken is temperature, cell-based field of dimension 3. algo:velocity_gradient
Velocity gradient, cell-based field of dimension 3x3. algo:pressure_gradient_increment
Gradient of the pressure increment solved in the correction step, cell-based field of dimension 3. algo:rij_divergence
Divergence of the Reynolds stress in the momentum equation for Reynolds stress RANS models, cell-based field of dimension 3. algo:rij_production
So called production term in Reynolds stress RANS models, cell-based field of dimension 6. algo:rij_pressure_strain_correlation
So called pressure strain correlation term in Reynolds stress RANS models, cell-based field of dimension 6. algo:rij_buoyancy
So called buoyancy term in Reynolds stress RANS models, cell-based field of dimension 6. algo:k_production
So called production term in k-epsilon RANS models, cell-based field of dimension 1. algo:k_buoyancy
So called buoyancy term in k-epsilon RANS models, cell-based field of dimension 1. algo:turbulent_flux_divergence
Divergence of the turbulent flux in the energy equation, cell-based field of dimension 1. algo:grad_clip_factor_<variable_name>
Least-squares gradient clip factor if gradient clipping is activated (scalar field on cells). algo:grad_b_iter_<variable_name>
Number of iterations for convergence of fixed-point algorithm for least-squares boundary gradient of vector and tensor fields. (scalar field on boundary faces). algo:b_velocity_inout
Boundary field to visualize entering velocity at outlets. est_error_cor_2 |
Error estimator for Navier-Stokes: correction.
The estimator comes directly from the mass flow calculated with the updated velocity field:
est_error_der_2 |
Error estimator for Navier-Stokes: drift.
The estimator is based on the following quantity (intrinsic to the code):
est_error_pre_2 |
Error estimator for Navier-Stokes: prediction.
After the velocity prediction step (yielding ), the estimator
, local variable calculated at every cell
, is created from
, which represents the residual of the equation solved during this step:
and
:
est_error_tot_2 |
Error estimator for Navier-Stokes: total.
The estimator , local variable calculated at every cell
, is based on the quantity
, which represents the residual of the equation using the updated values of
and
: