node.SetSolutionStepValue(BODY_FORCE_Y, 0, DEM_parameters.GravityY)
node.SetSolutionStepValue(BODY_FORCE_Z, 0, DEM_parameters.GravityZ)
# coarse-graining: applying changes to the physical properties of the model to adjust for
# the similarity transformation if required (fluid effects only).
swim_proc.ApplySimilarityTransformations(
fluid_model_part, DEM_parameters.similarity_transformation_type,
DEM_parameters.model_over_real_diameter_factor)
# creating a Post Utils object that executes several post-related tasks
post_utils = swim_proc.PostUtils(swimming_DEM_gid_io, pp, fluid_model_part,
spheres_model_part, cluster_model_part,
rigid_face_model_part, mixed_model_part)
# creating an IOTools object to perform other printing tasks
io_tools = swim_proc.IOTools(pp)
# creating a projection module for the fluid-DEM coupling
h_min = 0.01
n_balls = 1
fluid_volume = 10
DEM_parameters.n_particles_in_depth = int(math.sqrt(
n_balls / fluid_volume)) # only relevant in 2D problems
# creating a physical calculations module to analyse the DEM model_part
dem_physics_calculator = SphericElementGlobalPhysicsCalculator(
spheres_model_part)
if DEM_parameters["coupling_level_type"].GetInt():
if DEM_parameters.meso_scale_length <= 0.0 and spheres_model_part.NumberOfElements(
0) > 0:
def Initialize(self):
Say('Initializing Problem...\n')
self.run_code = self.GetRunCode()
# Moving to the recently created folder
os.chdir(self.main_path)
[self.post_path, data_and_results, self.graphs_path, MPI_results] = \
self.procedures.CreateDirectories(str(self.main_path),
str(self.pp.CFD_DEM["problem_name"].GetString()),
self.run_code)
SDP.CopyInputFilesIntoFolder(self.main_path, self.post_path)
self.MPI_results = MPI_results
#self.mixed_model_part = self.all_model_parts.Get('MixedPart')
vars_man.ConstructListsOfVariables(self.pp)
self.FluidInitialize()
self.DispersePhaseInitialize()
self.SetAllModelParts()
self.swimming_DEM_gid_io = \
swimming_DEM_gid_output.SwimmingDEMGiDOutput(
self.pp.CFD_DEM["problem_name"].GetString(),
self.pp.VolumeOutput,
self.pp.GiDPostMode,
self.pp.GiDMultiFileFlag,
self.pp.GiDWriteMeshFlag,
self.pp.GiDWriteConditionsFlag
)
self.swimming_DEM_gid_io.initialize_swimming_DEM_results(
self.spheres_model_part, self.cluster_model_part,
self.rigid_face_model_part, self.mixed_model_part)
self.SetDragOutput()
self.SetPointGraphPrinter()
self.TransferGravityFromDisperseToFluid()
self.AssignKinematicViscosityFromDynamicViscosity()
# coarse-graining: applying changes to the physical properties of the model to adjust for
# the similarity transformation if required (fluid effects only).
SDP.ApplySimilarityTransformations(
self.fluid_model_part,
self.pp.CFD_DEM["similarity_transformation_type"].GetInt(),
self.pp.CFD_DEM["model_over_real_diameter_factor"].GetDouble())
self.SetPostUtils()
# creating an IOTools object to perform other printing tasks
self.io_tools = SDP.IOTools(self.pp)
# creating a projection module for the fluid-DEM coupling
self.h_min = 0.01
n_balls = 1
fluid_volume = 10
# the variable n_particles_in_depth is only relevant in 2D problems
self.pp.CFD_DEM.AddEmptyValue("n_particles_in_depth").SetInt(
int(math.sqrt(n_balls / fluid_volume)))
# creating a physical calculations module to analyse the DEM model_part
dem_physics_calculator = SphericElementGlobalPhysicsCalculator(
self.spheres_model_part)
if self.pp.CFD_DEM["coupling_level_type"].GetInt():
default_meso_scale_length_needed = (
self.pp.CFD_DEM["meso_scale_length"].GetDouble() <= 0.0
and self.spheres_model_part.NumberOfElements(0) > 0)
if default_meso_scale_length_needed:
biggest_size = (
2 * dem_physics_calculator.CalculateMaxNodalVariable(
self.spheres_model_part, RADIUS))
self.pp.CFD_DEM["meso_scale_length"].SetDouble(20 *
biggest_size)
elif self.spheres_model_part.NumberOfElements(0) == 0:
self.pp.CFD_DEM["meso_scale_length"].SetDouble(1.0)
self.projection_module = CFD_DEM_coupling.ProjectionModule(
self.fluid_model_part,
self.spheres_model_part,
self.rigid_face_model_part,
self.pp.CFD_DEM,
self.pp.coupling_dem_vars,
self.pp.coupling_fluid_vars,
self.pp.time_filtered_vars,
flow_field=self.GetFieldUtility(),
domain_size=self.domain_size)
self.projection_module.UpdateDatabase(self.h_min)
# creating a custom functions calculator for the implementation of
# additional custom functions
self.custom_functions_tool = SDP.FunctionsCalculator(self.domain_size)
# creating a stationarity assessment tool
self.stationarity_tool = SDP.StationarityAssessmentTool(
self.pp.CFD_DEM["max_pressure_variation_rate_tol"].GetDouble(),
self.custom_functions_tool)
# creating a debug tool
self.dem_volume_tool = self.GetVolumeDebugTool()
#self.SetEmbeddedTools()
Say('Initialization Complete\n')
self.report.Prepare(self.timer,
self.pp.CFD_DEM["ControlTime"].GetDouble())
#first_print = True; index_5 = 1; index_10 = 1; index_50 = 1; control = 0.0
if self.pp.CFD_DEM["ModelDataInfo"].GetBool():
os.chdir(data_and_results)
if self.pp.CFD_DEM.ContactMeshOption == "ON":
coordination_number = self.procedures.ModelData(
self.spheres_model_part, self.solver)
Say('Coordination Number: ' + str(coordination_number) + '\n')
os.chdir(self.main_path)
else:
Say('Activate Contact Mesh for ModelData information\n')
if self.pp.CFD_DEM["flow_in_porous_medium_option"].GetBool():
fluid_frac_util = SDP.FluidFractionFieldUtility(
self.fluid_model_part, self.pp.CFD_DEM.min_fluid_fraction)
for field in self.pp.fluid_fraction_fields:
fluid_frac_util.AppendLinearField(field)
fluid_frac_util.AddFluidFractionField()
if self.pp.CFD_DEM["flow_in_porous_DEM_medium_option"].GetBool():
SDP.FixModelPart(self.spheres_model_part)
# choosing the directory in which we want to work (print to)
os.chdir(self.post_path)
##################################################
# I N I T I A L I Z I N G T I M E L O O P
##################################################
self.step = 0
self.time = self.pp.Start_time
self.Dt = self.pp.Dt
self.end_time = self.pp.CFD_DEM["FinalTime"].GetDouble()
self.DEM_step = 0
self.time_dem = 0.0
self.Dt_DEM = self.spheres_model_part.ProcessInfo.GetValue(DELTA_TIME)
self.rigid_face_model_part.ProcessInfo[DELTA_TIME] = self.Dt_DEM
self.cluster_model_part.ProcessInfo[DELTA_TIME] = self.Dt_DEM
self.stationarity = False
# setting up loop counters:
self.fluid_solve_counter = self.GetFluidSolveCounter()
self.DEM_to_fluid_counter = self.GetBackwardCouplingCounter()
self.derivative_recovery_counter = self.GetRecoveryCounter()
self.stationarity_counter = self.GetStationarityCounter()
self.print_counter_updated_DEM = self.GetPrintCounterUpdatedDEM()
self.print_counter_updated_fluid = self.GetPrintCounterUpdatedFluid()
self.debug_info_counter = self.GetDebugInfo()
self.particles_results_counter = self.GetParticlesResultsCounter()
self.quadrature_counter = self.GetHistoryForceQuadratureCounter()
#Phantom
self.analytic_data_counter = self.ProcessAnalyticDataCounter()
self.mat_deriv_averager = SDP.Averager(1, 3)
self.laplacian_averager = SDP.Averager(1, 3)
self.report.total_steps_expected = int(self.end_time / self.Dt_DEM)
Say(self.report.BeginReport(self.timer))
# creating a Post Utils object that executes several post-related tasks
self.post_utils_DEM = DEM_procedures.PostUtils(self.pp.CFD_DEM,
self.spheres_model_part)
SDP.InitializeVariablesWithNonZeroValues(
self.fluid_model_part, self.spheres_model_part,
self.pp) # otherwise variables are set to 0 by default
self.SetUpResultsDatabase()
# ANALYTICS BEGIN
self.pp.CFD_DEM.AddEmptyValue("perform_analytics_option").SetBool(
False)
if self.pp.CFD_DEM["perform_analytics_option"].GetBool():
import analytics
variables_to_measure = [PRESSURE]
steps_between_measurements = 100
gauge = analytics.Gauge(self.fluid_model_part, self.Dt,
self.end_time, variables_to_measure,
steps_between_measurements)
point_coors = [0.0, 0.0, 0.01]
target_node = SDP.FindClosestNode(self.fluid_model_part,
point_coors)
target_id = target_node.Id
Say(target_node.X, target_node.Y, target_node.Z)
Say(target_id)
def condition(node):
return node.Id == target_id
gauge.ConstructArrayOfNodes(condition)
Say(gauge.variables)
# ANALYTICS END
import derivative_recovery.derivative_recovery_strategy as derivative_recoverer
self.recovery = derivative_recoverer.DerivativeRecoveryStrategy(
self.pp, self.fluid_model_part, self.custom_functions_tool)
self.FillHistoryForcePrecalculatedVectors()
self.PerformZeroStepInitializations()
self.post_utils.Writeresults(self.time)
def Initialize(self):
print("\nInitializing Problem...")
sys.stdout.flush()
self.run_code = self.GetRunCode()
# Moving to the recently created folder
os.chdir(self.main_path)
[self.post_path, data_and_results, self.graphs_path, MPI_results] = self.procedures.CreateDirectories(str(self.main_path), str(self.pp.CFD_DEM["problem_name"].GetString()), self.run_code)
SDP.CopyInputFilesIntoFolder(self.main_path, self.post_path)
#self.mixed_model_part = self.all_model_parts.Get('MixedPart')
self.vars_man = vars_man
self.vars_man.ConstructListsOfVariables(self.pp)
self.FluidInitialize()
self.DispersePhaseInitialize()
self.SetAllModelParts()
self.SetCutsOutput()
self.swimming_DEM_gid_io = swimming_DEM_gid_output.SwimmingDEMGiDOutput(self.pp.problem_name,
self.pp.VolumeOutput,
self.pp.GiDPostMode,
self.pp.GiDMultiFileFlag,
self.pp.GiDWriteMeshFlag,
self.pp.GiDWriteConditionsFlag)
self.swimming_DEM_gid_io.initialize_swimming_DEM_results(self.disperse_phase_algorithm.spheres_model_part,
self.disperse_phase_algorithm.cluster_model_part,
self.disperse_phase_algorithm.rigid_face_model_part,
self.mixed_model_part)
self.SetDragOutput()
self.SetPointGraphPrinter()
self.TransferGravityFromDisperseToFluid()
# coarse-graining: applying changes to the physical properties of the model to adjust for
# the similarity transformation if required (fluid effects only).
SDP.ApplySimilarityTransformations(self.fluid_model_part,
self.pp.CFD_DEM["similarity_transformation_type"].GetInt(),
self.pp.CFD_DEM["model_over_real_diameter_factor"].GetDouble())
self.SetPostUtils()
# creating an IOTools object to perform other printing tasks
self.io_tools = SDP.IOTools(self.pp)
# creating a projection module for the fluid-DEM coupling
self.h_min = 0.01
n_balls = 1
fluid_volume = 10
self.pp.CFD_DEM.n_particles_in_depth = int(math.sqrt(n_balls / fluid_volume)) # only relevant in 2D problems
# creating a physical calculations module to analyse the DEM model_part
dem_physics_calculator = SphericElementGlobalPhysicsCalculator(self.disperse_phase_algorithm.spheres_model_part)
field_utility = self.GetFieldUtility()
if self.pp.CFD_DEM["coupling_level_type"].GetInt():
if self.pp.CFD_DEM["meso_scale_length"].GetDouble() <= 0.0 and self.disperse_phase_algorithm.spheres_model_part.NumberOfElements(0) > 0:
biggest_size = 2 * dem_physics_calculator.CalculateMaxNodalVariable(self.disperse_phase_algorithm.spheres_model_part, RADIUS)
self.pp.CFD_DEM.meso_scale_length = 20 * biggest_size
elif self.disperse_phase_algorithm.spheres_model_part.NumberOfElements(0) == 0:
self.pp.CFD_DEM.meso_scale_length = 1.0
self.projection_module = CFD_DEM_coupling.ProjectionModule(self.fluid_model_part, self.disperse_phase_algorithm.spheres_model_part, self.disperse_phase_algorithm.rigid_face_model_part, self.pp.domain_size, self.pp, field_utility)
self.projection_module.UpdateDatabase(self.h_min)
# creating a custom functions calculator for the implementation of additional custom functions
self.custom_functions_tool = SDP.FunctionsCalculator(self.pp)
# creating a derivative recovery tool to calculate the necessary derivatives from the fluid solution (gradient, laplacian, material acceleration...)
self.derivative_recovery_tool = DerivativeRecoveryTool3D(self.fluid_model_part)
# creating a stationarity assessment tool
self.stationarity_tool = SDP.StationarityAssessmentTool(self.pp.CFD_DEM["max_pressure_variation_rate_tol"].GetDouble() , self.custom_functions_tool)
# creating a debug tool
self.dem_volume_tool = self.GetVolumeDebugTool()
#self.SetEmbeddedTools()
self.KRATOSprint("Initialization Complete" + "\n")
sys.stdout.flush()
self.step = 0
self.time = self.pp.Start_time
self.Dt = self.pp.Dt
self.out = self.Dt
self.final_time = self.pp.CFD_DEM["FinalTime"].GetDouble()
self.output_time = self.pp.CFD_DEM["OutputTimeStep"].GetDouble()
self.report.Prepare(self.timer, self.pp.CFD_DEM["ControlTime"].GetDouble())
#first_print = True; index_5 = 1; index_10 = 1; index_50 = 1; control = 0.0
if self.pp.CFD_DEM["ModelDataInfo"].GetBool():
os.chdir(data_and_results)
if self.pp.CFD_DEM.ContactMeshOption == "ON":
(coordination_number) = self.procedures.ModelData(self.disperse_phase_algorithm.spheres_model_part, self.solver) # Calculates the mean number of neighbours the mean radius, etc..
self.KRATOSprint ("Coordination Number: " + str(coordination_number) + "\n")
os.chdir(self.main_path)
else:
self.KRATOSprint("Activate Contact Mesh for ModelData information")
if self.pp.CFD_DEM["flow_in_porous_medium_option"].GetBool():
fluid_frac_util = SDP.FluidFractionFieldUtility(self.fluid_model_part, self.pp.CFD_DEM.min_fluid_fraction )
for field in self.pp.fluid_fraction_fields:
fluid_frac_util.AppendLinearField(field)
fluid_frac_util.AddFluidFractionField()
if self.pp.CFD_DEM["flow_in_porous_DEM_medium_option"].GetBool():
SDP.FixModelPart(self.disperse_phase_algorithm.spheres_model_part)
# choosing the directory in which we want to work (print to)
os.chdir(self.post_path)
######################################################################################################################################
# I N I T I A L I Z I N G T I M E L O O P ... ( M I X E D F L U I D / D E M B L O C K )
######################################################################################################################################
# setting up loop counters: Counter(steps_per_tick_step, initial_step, active_or_inactive_boolean, dead_or_not)
self.fluid_solve_counter = self.GetFluidSolveCounter()
#self.embedded_counter = self.GetEmbeddedCounter()
self.DEM_to_fluid_counter = self.GetBackwardCouplingCounter()
self.derivative_recovery_counter = self.GetRecoveryCounter()
self.stationarity_counter = self.GetStationarityCounter()
self.print_counter = self.GetPrintCounter()
self.debug_info_counter = self.GetDebugInfo()
self.particles_results_counter = self.GetParticlesResultsCounter()
self.quadrature_counter = self.GetHistoryForceQuadratureCounter()
self.mat_deriv_averager = SDP.Averager(1, 3)
self.laplacian_averager = SDP.Averager(1, 3)
##############################################################################
# #
# MAIN LOOP #
# #
##############################################################################
self.DEM_step = 0 # necessary to get a good random insertion of particles # relevant to the stationarity assessment tool
self.time_dem = 0.0
self.Dt_DEM = self.disperse_phase_algorithm.spheres_model_part.ProcessInfo.GetValue(DELTA_TIME)
self.disperse_phase_algorithm.rigid_face_model_part.ProcessInfo[DELTA_TIME] = self.Dt_DEM
self.disperse_phase_algorithm.cluster_model_part.ProcessInfo[DELTA_TIME] = self.Dt_DEM
self.stationarity = False
self.report.total_steps_expected = int(self.pp.CFD_DEM["FinalTime"].GetDouble() / self.Dt_DEM)
self.KRATOSprint(self.report.BeginReport(self.timer))
# creating a Post Utils object that executes several post-related tasks
self.post_utils_DEM = DEM_procedures.PostUtils(self.pp.CFD_DEM, self.disperse_phase_algorithm.spheres_model_part)
SDP.InitializeVariablesWithNonZeroValues(self.fluid_model_part, self.disperse_phase_algorithm.spheres_model_part, self.pp) # otherwise variables are set to 0 by default
self.SetUpResultsDatabase()
# ANALYTICS BEGIN
self.pp.CFD_DEM.perform_analytics_option = False
if self.pp.CFD_DEM.perform_analytics_option:
import analytics
variables_to_measure = [PRESSURE]
steps_between_measurements = 100
gauge = analytics.Gauge(self.fluid_model_part, self.Dt, self.final_time, variables_to_measure, steps_between_measurements)
point_coors = [0.0, 0.0, 0.01]
target_node = SDP.FindClosestNode(self.fluid_model_part, point_coors)
target_id = target_node.Id
print(target_node.X, target_node.Y, target_node.Z)
print(target_id)
def condition(node):
return node.Id == target_id
gauge.ConstructArrayOfNodes(condition)
print(gauge.variables)
#print_analytics_counter = SDP.Counter( 5 * steps_between_measurements, 1, 1) # MA: not used anywhere?
# ANALYTICS END
import derivative_recovery.derivative_recovery_strategy as derivative_recoverer
self.recovery = derivative_recoverer.DerivativeRecoveryStrategy(self.pp, self.fluid_model_part, self.derivative_recovery_tool, self.custom_functions_tool)
self.FillHistoryForcePrecalculatedVectors()
self.PerformZeroStepInitializations()
self.post_utils.Writeresults(self.time)
def Initialize(self):
Say('Initializing simulation...\n')
self.run_code = self.GetRunCode()
# Moving to the recently created folder
os.chdir(self.main_path)
if self.do_print_results:
[self.post_path, data_and_results, self.graphs_path, MPI_results] = \
self.procedures.CreateDirectories(str(self.main_path),
str(self.project_parameters["problem_data"]["problem_name"].GetString()),
self.run_code)
SDP.CopyInputFilesIntoFolder(self.main_path, self.post_path)
self.MPI_results = MPI_results
self.FluidInitialize()
self.DispersePhaseInitialize()
self.SetAllModelParts()
if self.project_parameters.Has(
'sdem_output_processes') and self.do_print_results:
gid_output_options = self.project_parameters[
"sdem_output_processes"]["gid_output"][0]["Parameters"]
result_file_configuration = gid_output_options[
"postprocess_parameters"]["result_file_configuration"]
write_conditions_option = result_file_configuration[
"gidpost_flags"]["WriteConditionsFlag"].GetString(
) == "WriteConditions"
deformed_mesh_option = result_file_configuration["gidpost_flags"][
"WriteDeformedMeshFlag"].GetString() == "WriteDeformed"
old_gid_output_post_options_dict = {
'GiD_PostAscii': 'Ascii',
'GiD_PostBinary': 'Binary',
'GiD_PostAsciiZipped': 'AsciiZipped'
}
old_gid_output_multiple_file_option_dict = {
'SingleFile': 'Single',
'MultipleFiles': 'Multiples'
}
post_mode_key = result_file_configuration["gidpost_flags"][
"GiDPostMode"].GetString()
multiple_files_option_key = result_file_configuration[
"gidpost_flags"]["MultiFileFlag"].GetString()
self.swimming_DEM_gid_io = \
swimming_DEM_gid_output.SwimmingDEMGiDOutput(
file_name = self.project_parameters["problem_data"]["problem_name"].GetString(),
vol_output = result_file_configuration["body_output"].GetBool(),
post_mode = old_gid_output_post_options_dict[post_mode_key],
multifile = old_gid_output_multiple_file_option_dict[multiple_files_option_key],
deformed_mesh = deformed_mesh_option,
write_conditions = write_conditions_option)
self.swimming_DEM_gid_io.initialize_swimming_DEM_results(
self.spheres_model_part, self.cluster_model_part,
self.rigid_face_model_part, self.mixed_model_part)
self.SetPointGraphPrinter()
self.AssignKinematicViscosityFromDynamicViscosity()
super(SwimmingDEMAnalysis, self).Initialize()
# coarse-graining: applying changes to the physical properties of the model to adjust for
# the similarity transformation if required (fluid effects only).
SDP.ApplySimilarityTransformations(
self.fluid_model_part, self.project_parameters["similarity"]
["similarity_transformation_type"].GetInt(),
self.project_parameters["similarity"]
["model_over_real_diameter_factor"].GetDouble())
if self.do_print_results:
self.SetPostUtils()
# creating an IOTools object to perform other printing tasks
self.io_tools = SDP.IOTools(self.project_parameters)
dem_physics_calculator = DEM.SphericElementGlobalPhysicsCalculator(
self.spheres_model_part)
if self.project_parameters["coupling"]["coupling_level_type"].GetInt():
default_meso_scale_length_needed = (
self.project_parameters["coupling"]["backward_coupling"]
["meso_scale_length"].GetDouble() <= 0.0
and self.spheres_model_part.NumberOfElements(0) > 0)
if default_meso_scale_length_needed:
biggest_size = (
2 * dem_physics_calculator.CalculateMaxNodalVariable(
self.spheres_model_part, Kratos.RADIUS))
self.project_parameters["coupling"]["backward_coupling"][
"meso_scale_length"].SetDouble(20 * biggest_size)
elif self.spheres_model_part.NumberOfElements(0) == 0:
self.project_parameters["coupling"]["backward_coupling"][
"meso_scale_length"].SetDouble(1.0)
# creating a custom functions calculator for the implementation of
# additional custom functions
fluid_domain_dimension = self.project_parameters["fluid_parameters"][
"solver_settings"]["domain_size"].GetInt()
self.custom_functions_tool = SDP.FunctionsCalculator(
fluid_domain_dimension)
# creating a stationarity assessment tool
self.stationarity_tool = SDP.StationarityAssessmentTool(
self.project_parameters["stationarity"]
["max_pressure_variation_rate_tol"].GetDouble(),
self.custom_functions_tool)
# creating a debug tool
self.dem_volume_tool = self.GetVolumeDebugTool()
#self.SetEmbeddedTools()
Say('Initialization Complete\n')
if self.project_parameters["custom_fluid"][
"flow_in_porous_DEM_medium_option"].GetBool():
SDP.FixModelPart(self.spheres_model_part)
##################################################
# I N I T I A L I Z I N G T I M E L O O P
##################################################
self.step = 0
self.time = self.fluid_parameters["problem_data"][
"start_time"].GetDouble()
self.fluid_time_step = self._GetFluidAnalysis()._GetSolver(
)._ComputeDeltaTime()
self.time_step = self.spheres_model_part.ProcessInfo.GetValue(
Kratos.DELTA_TIME)
self.rigid_face_model_part.ProcessInfo[
Kratos.DELTA_TIME] = self.time_step
self.cluster_model_part.ProcessInfo[Kratos.DELTA_TIME] = self.time_step
self.stationarity = False
# setting up loop counters:
self.DEM_to_fluid_counter = self.GetBackwardCouplingCounter()
self.stationarity_counter = self.GetStationarityCounter()
self.print_counter = self.GetPrintCounter()
self.debug_info_counter = self.GetDebugInfo()
self.particles_results_counter = self.GetParticlesResultsCounter()
self.quadrature_counter = self.GetHistoryForceQuadratureCounter()
# Phantom
self._GetDEMAnalysis(
).analytic_data_counter = self.ProcessAnalyticDataCounter()
self.mat_deriv_averager = SDP.Averager(1, 3)
self.laplacian_averager = SDP.Averager(1, 3)
self.report.total_steps_expected = int(self.end_time / self.time_step)
Say(self.report.BeginReport(self.timer))
# creating a Post Utils object that executes several post-related tasks
self.post_utils_DEM = DP.PostUtils(
self.project_parameters['dem_parameters'], self.spheres_model_part)
# otherwise variables are set to 0 by default:
SDP.InitializeVariablesWithNonZeroValues(self.project_parameters,
self.fluid_model_part,
self.spheres_model_part)
if self.do_print_results:
self.SetUpResultsDatabase()
# ANALYTICS BEGIN
self.project_parameters.AddEmptyValue(
"perform_analytics_option").SetBool(False)
if self.project_parameters["perform_analytics_option"].GetBool():
import analytics
variables_to_measure = [Kratos.PRESSURE]
steps_between_measurements = 100
gauge = analytics.Gauge(self.fluid_model_part,
self.fluid_time_step, self.end_time,
variables_to_measure,
steps_between_measurements)
point_coors = [0.0, 0.0, 0.01]
target_node = SDP.FindClosestNode(self.fluid_model_part,
point_coors)
target_id = target_node.Id
Say(target_node.X, target_node.Y, target_node.Z)
Say(target_id)
def condition(node):
return node.Id == target_id
gauge.ConstructArrayOfNodes(condition)
Say(gauge.variables)
# ANALYTICS END
import derivative_recovery.derivative_recovery_strategy as derivative_recoverer
self.recovery = derivative_recoverer.DerivativeRecoveryStrategy(
self.project_parameters, self.fluid_model_part,
self.custom_functions_tool)
self.FillHistoryForcePrecalculatedVectors()
self.PerformZeroStepInitializations()
if self.do_print_results:
self._Print()
def Run(self):
import math
import swimming_DEM_procedures as swim_proc
import CFD_DEM_coupling
import embedded
import swimming_DEM_algorithm
# import the configuration data as read from the GiD
import define_output
run_code = self.alg.GetRunCode()
# Moving to the recently created folder
os.chdir(self.main_path)
[post_path, data_and_results, graphs_path,
MPI_results] = self.alg.procedures.CreateDirectories(
str(self.main_path), str(self.pp.CFD_DEM.problem_name))
swim_proc.CopyInputFilesIntoFolder(self.main_path, post_path)
self.alg.AddExtraVariables()
[post_path, data_and_results, graphs_path,
MPI_results] = self.alg.procedures.CreateDirectories(
str(self.main_path), str(self.pp.CFD_DEM.problem_name))
os.chdir(self.main_path)
# Initialize GiD-IO
self.demio = DEM_procedures.DEMIo(self.pp.CFD_DEM, post_path)
self.demio.AddGlobalVariables()
self.demio.AddSpheresVariables()
self.demio.AddFEMBoundaryVariables()
self.demio.AddClusterVariables()
self.demio.AddContactVariables()
# MPI
self.demio.AddMpiVariables()
self.demio.Configure(self.pp.CFD_DEM.problem_name,
self.pp.CFD_DEM.OutputFileType,
self.pp.CFD_DEM.Multifile,
self.pp.CFD_DEM.ContactMeshOption)
self.demio.SetOutputName(self.pp.CFD_DEM.problem_name)
os.chdir(post_path)
self.demio.InitializeMesh(self.alg.all_model_parts)
#Setting up the BoundingBox
bounding_box_time_limits = []
if self.pp.CFD_DEM.BoundingBoxOption == "ON":
self.alg.procedures.SetBoundingBox(self.alg.spheres_model_part,
self.alg.cluster_model_part,
self.alg.rigid_face_model_part,
self.alg.creator_destructor)
bounding_box_time_limits = [
self.alg.solver.bounding_box_start_time,
self.alg.solver.bounding_box_stop_time
]
# Creating the fluid solver
SolverSettings = self.pp.FluidSolverConfiguration
# solver_module = import_solver(SolverSettings)
fluid_model_part = self.alg.all_model_parts.Get('FluidPart')
mixed_model_part = self.alg.all_model_parts.Get('MixedPart')
Dt_DEM = self.pp.CFD_DEM.MaxTimeStep
# reading the fluid part
self.alg.Initialize()
self.alg.SetFluidBufferSizeAndAddAdditionalDofs()
self.alg.fluid_solver = self.alg.solver_module.CreateSolver(
fluid_model_part, SolverSettings)
self.alg.FluidInitialize()
# activate turbulence model
self.alg.ActivateTurbulenceModel()
# constructing a model part for the DEM inlet. it contains the DEM elements to be released during the simulation
# Initializing the DEM solver must be done before creating the DEM Inlet, because the Inlet configures itself according to some options of the DEM model part
if not self.pp.VolumeOutput:
cut_list = define_output.DefineCutPlanes()
gid_io.define_cuts(fluid_model_part, cut_list)
# gid_io.initialize_results(fluid_model_part) # MOD.
import swimming_DEM_gid_output
swimming_DEM_gid_io = swimming_DEM_gid_output.SwimmingDEMGiDOutput(
self.pp.problem_name, self.pp.VolumeOutput, self.pp.GiDPostMode,
self.pp.GiDMultiFileFlag, self.pp.GiDWriteMeshFlag,
self.pp.GiDWriteConditionsFlag)
swimming_DEM_gid_io.initialize_swimming_DEM_results(
self.alg.spheres_model_part, self.alg.cluster_model_part,
self.alg.rigid_face_model_part, mixed_model_part)
# define the drag computation list
drag_list = define_output.DefineDragList()
drag_file_output_list = []
for it in drag_list:
f = open(it[1], 'w')
drag_file_output_list.append(f)
tmp = "#Drag for group " + it[1] + "\n"
f.write(tmp)
tmp = "time RX RY RZ"
f.write(tmp)
f.flush()
print(drag_file_output_list)
def PrintDrag(drag_list, drag_file_output_list, fluid_model_part,
time):
i = 0
for it in drag_list:
print(it[0])
nodes = fluid_model_part.GetNodes(it[0])
drag = Vector(3)
drag[0] = 0.0
drag[1] = 0.0
drag[2] = 0.0
for node in nodes:
reaction = node.GetSolutionStepValue(REACTION, 0)
drag[0] += reaction[0]
drag[1] += reaction[1]
drag[2] += reaction[2]
output = str(time) + " " + str(drag[0]) + " " + str(
drag[1]) + " " + str(drag[2]) + "\n"
# print drag_file_output_list[i]
# print output
drag_file_output_list[i].write(output)
drag_file_output_list[i].flush()
i = i + 1
# preparing output of point graphs
#import point_graph_printer
#output_nodes_list = define_output.DefineOutputPoints()
#graph_printer = point_graph_printer.PrintGraphPrinter(
#output_nodes_list,
#fluid_model_part,
#variables_dictionary,
#domain_size)
# setting fluid's body force to the same as DEM's
if self.pp.CFD_DEM.body_force_on_fluid_option:
for node in fluid_model_part.Nodes:
node.SetSolutionStepValue(BODY_FORCE_X, 0,
self.pp.CFD_DEM.GravityX)
node.SetSolutionStepValue(BODY_FORCE_Y, 0,
self.pp.CFD_DEM.GravityY)
node.SetSolutionStepValue(BODY_FORCE_Z, 0,
self.pp.CFD_DEM.GravityZ)
# coarse-graining: applying changes to the physical properties of the model to adjust for
# the similarity transformation if required (fluid effects only).
swim_proc.ApplySimilarityTransformations(
fluid_model_part, self.pp.CFD_DEM.similarity_transformation_type,
self.pp.CFD_DEM.model_over_real_diameter_factor)
# creating a Post Utils object that executes several post-related tasks
post_utils = swim_proc.PostUtils(swimming_DEM_gid_io, self.pp,
fluid_model_part,
self.alg.spheres_model_part,
self.alg.cluster_model_part,
self.alg.rigid_face_model_part,
mixed_model_part)
# creating an IOTools object to perform other printing tasks
io_tools = swim_proc.IOTools(self.pp)
# creating a projection module for the fluid-DEM coupling
h_min = 0.01
n_balls = 1
fluid_volume = 10
self.pp.CFD_DEM.n_particles_in_depth = int(
math.sqrt(n_balls / fluid_volume)) # only relevant in 2D problems
# creating a physical calculations module to analyse the DEM model_part
dem_physics_calculator = SphericElementGlobalPhysicsCalculator(
self.alg.spheres_model_part)
if self.pp.CFD_DEM.coupling_level_type:
if self.pp.CFD_DEM.meso_scale_length <= 0.0 and self.alg.spheres_model_part.NumberOfElements(
0) > 0:
biggest_size = 2 * dem_physics_calculator.CalculateMaxNodalVariable(
self.alg.spheres_model_part, RADIUS)
self.pp.CFD_DEM.meso_scale_length = 20 * biggest_size
elif self.alg.spheres_model_part.NumberOfElements(0) == 0:
self.pp.CFD_DEM.meso_scale_length = 1.0
field_utility = self.alg.GetFieldUtility()
self.alg.projection_module = CFD_DEM_coupling.ProjectionModule(
fluid_model_part, self.alg.spheres_model_part,
self.alg.rigid_face_model_part, self.pp.domain_size, self.pp,
field_utility)
self.alg.projection_module.UpdateDatabase(h_min)
# creating a custom functions calculator for the implementation of additional custom functions
custom_functions_tool = swim_proc.FunctionsCalculator(self.pp)
# creating a derivative recovery tool to calculate the necessary derivatives from the fluid solution (gradient, laplacian, material acceleration...)
derivative_recovery_tool = DerivativeRecoveryTool3D(fluid_model_part)
# creating a stationarity assessment tool
stationarity_tool = swim_proc.StationarityAssessmentTool(
self.pp.CFD_DEM.max_pressure_variation_rate_tol,
custom_functions_tool)
# creating a debug tool
dem_volume_tool = swim_proc.ProjectionDebugUtils(
self.pp.CFD_DEM.fluid_domain_volume, fluid_model_part,
self.alg.spheres_model_part, custom_functions_tool)
# creating a distance calculation process for the embedded technology
# (used to calculate elemental distances defining the structure embedded in the fluid mesh)
if self.pp.CFD_DEM.embedded_option:
calculate_distance_process = CalculateSignedDistanceTo3DSkinProcess(
self.alg.rigid_face_model_part, fluid_model_part)
calculate_distance_process.Execute()
self.alg.KRATOSprint("Initialization Complete" + "\n")
step = 0
time = self.pp.Start_time
Dt = self.pp.Dt
out = Dt
Nsteps = self.pp.nsteps
final_time = self.pp.CFD_DEM.FinalTime
output_time = self.pp.CFD_DEM.OutputTimeStep
self.alg.report.Prepare(self.alg.timer, self.pp.CFD_DEM.ControlTime)
first_print = True
index_5 = 1
index_10 = 1
index_50 = 1
control = 0.0
if (self.pp.CFD_DEM.ModelDataInfo == "ON"):
os.chdir(data_and_results)
if (self.pp.CFD_DEM.ContactMeshOption == "ON"):
(coordination_number) = self.alg.procedures.ModelData(
self.alg.spheres_model_part, self.alg.solver
) # Calculates the mean number of neighbours the mean radius, etc..
self.alg.KRATOSprint("Coordination Number: " +
str(coordination_number) + "\n")
os.chdir(self.main_path)
else:
self.alg.KRATOSprint(
"Activate Contact Mesh for ModelData information")
if self.pp.CFD_DEM.flow_in_porous_medium_option:
fluid_frac_util = swim_proc.FluidFractionFieldUtility(
fluid_model_part, self.pp.CFD_DEM.min_fluid_fraction)
for field in self.pp.fluid_fraction_fields:
fluid_frac_util.AppendLinearField(field)
fluid_frac_util.AddFluidFractionField()
if self.pp.CFD_DEM.flow_in_porous_DEM_medium_option:
swim_proc.FixModelPart(self.alg.spheres_model_part)
# choosing the directory in which we want to work (print to)
os.chdir(post_path)
def yield_DEM_time(current_time, current_time_plus_increment,
delta_time):
current_time += delta_time
tolerance = 0.0001
while current_time < (current_time_plus_increment -
tolerance * delta_time):
yield current_time
current_time += delta_time
current_time = current_time_plus_increment
yield current_time
######################################################################################################################################
# I N I T I A L I Z I N G T I M E L O O P ... ( M I X E D F L U I D / D E M B L O C K )
######################################################################################################################################
# setting up loop counters: Counter(steps_per_tick_step, initial_step, active_or_inactive_boolean, dead_or_not)
fluid_solve_counter = self.alg.GetFluidSolveCounter()
embedded_counter = self.alg.GetEmbeddedCounter()
DEM_to_fluid_counter = self.alg.GetBackwardCouplingCounter()
derivative_recovery_counter = self.alg.GetRecoveryCounter()
stationarity_counter = self.alg.GetStationarityCounter()
print_counter = self.alg.GetPrintCounter()
debug_info_counter = self.alg.GetDebugInfo()
particles_results_counter = self.alg.GetParticlesResultsCounter()
quadrature_counter = self.alg.HistoryForceQuadratureCounter()
mat_deriv_averager = swim_proc.Averager(1, 3)
laplacian_averager = swim_proc.Averager(1, 3)
##############################################################################
# #
# MAIN LOOP #
# #
##############################################################################
DEM_step = 0 # necessary to get a good random insertion of particles # relevant to the stationarity assessment tool
time_dem = 0.0
Dt_DEM = self.alg.spheres_model_part.ProcessInfo.GetValue(DELTA_TIME)
self.alg.rigid_face_model_part.ProcessInfo[DELTA_TIME] = Dt_DEM
self.alg.cluster_model_part.ProcessInfo[DELTA_TIME] = Dt_DEM
stationarity = False
self.alg.report.total_steps_expected = int(self.pp.CFD_DEM.FinalTime /
Dt_DEM)
self.alg.KRATOSprint(self.alg.report.BeginReport(self.alg.timer))
mesh_motion = DEMFEMUtilities()
# creating a Post Utils object that executes several post-related tasks
post_utils_DEM = DEM_procedures.PostUtils(self.pp.CFD_DEM,
self.alg.spheres_model_part)
swim_proc.InitializeVariablesWithNonZeroValues(
fluid_model_part, self.alg.spheres_model_part,
self.pp) # otherwise variables are set to 0 by default
self.alg.SetUpResultsDatabase()
# ANALYTICS BEGIN
self.pp.CFD_DEM.perform_analytics_option = False
if self.pp.CFD_DEM.perform_analytics_option:
import analytics
variables_to_measure = [PRESSURE]
steps_between_measurements = 100
gauge = analytics.Gauge(fluid_model_part, Dt, final_time,
variables_to_measure,
steps_between_measurements)
point_coors = [0.0, 0.0, 0.01]
target_node = swim_proc.FindClosestNode(fluid_model_part,
point_coors)
target_id = target_node.Id
print(target_node.X, target_node.Y, target_node.Z)
print(target_id)
def condition(node):
return node.Id == target_id
gauge.ConstructArrayOfNodes(condition)
print(gauge.variables)
print_analytics_counter = swim_proc.Counter(
5 * steps_between_measurements, 1, 1)
# ANALYTICS END
import derivative_recovery.derivative_recovery_strategy as derivative_recoverer
recovery = derivative_recoverer.DerivativeRecoveryStrategy(
self.pp, fluid_model_part, derivative_recovery_tool,
custom_functions_tool)
self.alg.FillHistoryForcePrecalculatedVectors()
self.alg.PerformZeroStepInitializations()
post_utils.Writeresults(time)
while time <= final_time:
time = time + Dt
step += 1
fluid_model_part.CloneTimeStep(time)
self.alg.TellTime(time)
if self.pp.CFD_DEM.coupling_scheme_type == "UpdatedDEM":
time_final_DEM_substepping = time + Dt
else:
time_final_DEM_substepping = time
# calculating elemental distances defining the structure embedded in the fluid mesh
if self.pp.CFD_DEM.embedded_option:
calculate_distance_process.Execute()
if embedded_counter.Tick():
embedded.ApplyEmbeddedBCsToFluid(fluid_model_part)
embedded.ApplyEmbeddedBCsToBalls(self.alg.spheres_model_part,
self.pp.CFD_DEM)
# solving the fluid part
if step >= 3 and not stationarity:
print("Solving Fluid... (",
fluid_model_part.NumberOfElements(0), "elements )")
sys.stdout.flush()
if fluid_solve_counter.Tick():
self.alg.FluidSolve(time)
# assessing stationarity
if stationarity_counter.Tick():
print("Assessing Stationarity...")
stationarity = stationarity_tool.Assess(fluid_model_part)
sys.stdout.flush()
# printing if required
if particles_results_counter.Tick():
# eliminating remote balls
#if self.pp.dem.BoundingBoxOption == "ON":
# self.alg.creator_destructor.DestroyParticlesOutsideBoundingBox(self.alg.spheres_model_part)
io_tools.PrintParticlesResults(
self.alg.pp.variables_to_print_in_file, time,
self.alg.spheres_model_part)
graph_printer.PrintGraphs(time)
PrintDrag(drag_list, drag_file_output_list, fluid_model_part,
time)
if output_time <= out and self.alg.pp.CFD_DEM.coupling_scheme_type == "UpdatedDEM":
if self.pp.CFD_DEM.coupling_level_type > 0:
self.alg.projection_module.ComputePostProcessResults(
self.alg.spheres_model_part.ProcessInfo)
post_utils.Writeresults(time)
out = 0
# solving the DEM part
derivative_recovery_counter.Switch(
time > self.pp.CFD_DEM.interaction_start_time)
if derivative_recovery_counter.Tick():
recovery.Recover()
print("Solving DEM... (",
self.alg.spheres_model_part.NumberOfElements(0),
"elements )")
sys.stdout.flush()
first_dem_iter = True
for time_dem in yield_DEM_time(time_dem,
time_final_DEM_substepping, Dt_DEM):
DEM_step += 1 # this variable is necessary to get a good random insertion of particles
self.alg.spheres_model_part.ProcessInfo[TIME_STEPS] = DEM_step
self.alg.rigid_face_model_part.ProcessInfo[
TIME_STEPS] = DEM_step
self.alg.cluster_model_part.ProcessInfo[TIME_STEPS] = DEM_step
self.alg.PerformInitialDEMStepOperations(time_dem)
if time >= self.pp.CFD_DEM.interaction_start_time and self.pp.CFD_DEM.coupling_level_type and (
self.pp.CFD_DEM.project_at_every_substep_option
or first_dem_iter):
if self.pp.CFD_DEM.coupling_scheme_type == "UpdatedDEM":
self.alg.ApplyForwardCoupling()
else:
self.alg.ApplyForwardCoupling(
(time_final_DEM_substepping - time_dem) / Dt)
if self.alg.pp.CFD_DEM.IntegrationScheme in {
'Hybrid_Bashforth', 'TerminalVelocityScheme'
}:
self.alg.solver.Solve() # only advance in space
self.alg.ApplyForwardCouplingOfVelocityOnly(
time_dem)
else:
if self.alg.pp.CFD_DEM.basset_force_type > 0:
node.SetSolutionStepValue(SLIP_VELOCITY_X, vx)
node.SetSolutionStepValue(SLIP_VELOCITY_Y, vy)
if quadrature_counter.Tick():
self.alg.AppendValuesForTheHistoryForce()
# performing the time integration of the DEM part
self.alg.spheres_model_part.ProcessInfo[TIME] = time_dem
self.alg.rigid_face_model_part.ProcessInfo[TIME] = time_dem
self.alg.cluster_model_part.ProcessInfo[TIME] = time_dem
if self.alg.pp.do_solve_dem:
self.alg.DEMSolve(time_dem)
# Walls movement:
mesh_motion.MoveAllMeshes(self.alg.rigid_face_model_part, time,
Dt)
mesh_motion.MoveAllMeshes(self.alg.spheres_model_part, time,
Dt)
mesh_motion.MoveAllMeshes(self.alg.DEM_inlet_model_part, time,
Dt)
#### TIME CONTROL ##################################
# adding DEM elements by the inlet:
if self.pp.CFD_DEM.dem_inlet_option:
self.alg.DEM_inlet.CreateElementsFromInletMesh(
self.alg.spheres_model_part,
self.alg.cluster_model_part,
self.alg.creator_destructor
) # After solving, to make sure that neighbours are already set.
if output_time <= out and self.pp.CFD_DEM.coupling_scheme_type == "UpdatedFluid":
if self.pp.CFD_DEM.coupling_level_type:
self.alg.projection_module.ComputePostProcessResults(
self.alg.spheres_model_part.ProcessInfo)
post_utils.Writeresults(time_dem)
out = 0
out = out + Dt_DEM
first_dem_iter = False
# applying DEM-to-fluid coupling
if DEM_to_fluid_counter.Tick(
) and time >= self.pp.CFD_DEM.interaction_start_time:
self.alg.projection_module.ProjectFromParticles()
#### PRINTING GRAPHS ####
os.chdir(graphs_path)
# measuring mean velocities in a certain control volume (the 'velocity trap')
if self.pp.CFD_DEM.VelocityTrapOption:
post_utils_DEM.ComputeMeanVelocitiesinTrap(
"Average_Velocity.txt", time)
os.chdir(post_path)
# coupling checks (debugging)
if debug_info_counter.Tick():
dem_volume_tool.UpdateDataAndPrint(
self.pp.CFD_DEM.fluid_domain_volume)
# printing if required
if particles_results_counter.Tick():
io_tools.PrintParticlesResults(
self.pp.variables_to_print_in_file, time,
self.alg.spheres_model_part)
graph_printer.PrintGraphs(time)
PrintDrag(drag_list, drag_file_output_list, fluid_model_part,
time)
swimming_DEM_gid_io.finalize_results()
self.alg.PerformFinalOperations(time_dem)
for i in drag_file_output_list:
i.close()
self.alg.TellFinalSummary(step, time, DEM_step)
return self.alg.GetReturnValue()
ProjectParameters.dem.GravityZ)
# coarse-graining: applying changes to the physical properties of the model to adjust for
# the similarity transformation if required (fluid effects only).
swim_proc.ApplySimilarityTransformations(
fluid_model_part, ProjectParameters.similarity_transformation_type,
ProjectParameters.model_over_real_diameter_factor)
# creating a Post Utils object that executes several post-related tasks
post_utils = swim_proc.PostUtils(swimming_DEM_gid_io, ProjectParameters,
fluid_model_part, balls_model_part,
clusters_model_part, rigid_faces_model_part,
mixed_model_part)
# creating an IOTools object to perform other printing tasks
io_tools = swim_proc.IOTools(ProjectParameters)
# creating a projection module for the fluid-DEM coupling
h_min = 0.01
n_balls = 1
fluid_volume = 10
ProjectParameters.n_particles_in_depth = int(math.sqrt(
n_balls / fluid_volume)) # only relevant in 2D problems
# creating a physical calculations module to analyse the DEM model_part
dem_physics_calculator = SphericElementGlobalPhysicsCalculator(
balls_model_part)
if (ProjectParameters.projection_module_option):
if (ProjectParameters.meso_scale_length <= 0.0
and balls_model_part.NumberOfElements(0) > 0):