- multi_appThe name of the MultiApp to use.
C++ Type:MultiAppName
Description:The name of the MultiApp to use.
- to_controlThe name of the 'SamplerReceiver' on the sub application to which the Sampler data will be transferred.
C++ Type:std::string
Description:The name of the 'SamplerReceiver' on the sub application to which the Sampler data will be transferred.
SamplerParameterTransfer
The SamplerParameterTransfer works in union with the Samplers and Controls systems to transfer data to sub-applications to perform stochastic simulations.
The use of this object is explained in detail in stochastic_tools module example: Monte Carlo Example.
Input Parameters
- check_multiapp_execute_onFalseWhen false the check between the multiapp and transfer execute on flags is not preformed.
Default:False
C++ Type:bool
Options:
Description:When false the check between the multiapp and transfer execute on flags is not preformed.
- displaced_source_meshFalseWhether or not to use the displaced mesh for the source mesh.
Default:False
C++ Type:bool
Options:
Description:Whether or not to use the displaced mesh for the source mesh.
- displaced_target_meshFalseWhether or not to use the displaced mesh for the target mesh.
Default:False
C++ Type:bool
Options:
Description:Whether or not to use the displaced mesh for the target mesh.
- execute_onSAME_AS_MULTIAPPThe list of flag(s) indicating when this object should be executed, the available options include NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM, SAME_AS_MULTIAPP.
Default:SAME_AS_MULTIAPP
C++ Type:ExecFlagEnum
Options:NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM, SAME_AS_MULTIAPP
Description:The list of flag(s) indicating when this object should be executed, the available options include NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM, SAME_AS_MULTIAPP.
- parametersA list of parameters (on the sub application) to control with the Sampler data. The order of the parameters listed here should match the order of the items in the Sampler.
C++ Type:std::vector<std::string>
Options:
Description:A list of parameters (on the sub application) to control with the Sampler data. The order of the parameters listed here should match the order of the items in the Sampler.
- samplerA the Sampler object that Transfer is associated..
C++ Type:SamplerName
Options:
Description:A the Sampler object that Transfer is associated..
Optional Parameters
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Options:
Description:Adds user-defined labels for accessing object parameters via control logic.
- enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Options:
Description:Set the enabled status of the MooseObject.
- use_displaced_meshFalseWhether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Default:False
C++ Type:bool
Options:
Description:Whether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Advanced Parameters
Input Files
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_moment.i)
- (modules/stochastic_tools/examples/sobol/master.i)
- (modules/combined/examples/stochastic/lhs_uniform.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/monte_carlo.i)
- (modules/stochastic_tools/test/tests/transfers/monte_carlo/monte_carlo.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_missing_control.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/boundary/trainer.i)
- (modules/stochastic_tools/examples/batch/full_solve.i)
- (modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/trainer.i)
- (modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/master_not_enough_data.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_locs.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_moment.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/master.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad.i)
- (modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master_2sub.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/sobol.i)
- (modules/stochastic_tools/test/tests/multiapps/dynamic_sub_app_number/main.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer_and_surr.i)
- (modules/stochastic_tools/test/tests/transfers/sobol/sobol.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_num_parameters_wrong.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer_and_surr.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i)
- (modules/combined/examples/stochastic/poly_chaos_train_uniform.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer.i)
- (modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/full_order.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_transfer_wrong_sampler.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_locs.i)
- (modules/stochastic_tools/test/tests/multiapps/partitioning/main_transient.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i)
- (modules/stochastic_tools/examples/batch/transient.i)
- (modules/stochastic_tools/test/tests/multiapps/transient_with_full_solve/main.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_mc.i)
- (modules/stochastic_tools/test/tests/transfers/errors/master_missing_control.i)
- (modules/stochastic_tools/test/tests/transfers/errors/master_multiapp_type_error.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_reporter/main_batch.i)
- (modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_uniform.i)
- (modules/stochastic_tools/test/tests/multiapps/partitioning/main.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_multiapp_type_error.i)
- (modules/stochastic_tools/examples/parameter_study/master.i)
- (modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_normal.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/require_stochastic_results.i)
- (modules/stochastic_tools/test/tests/transfers/errors/master_num_parameters_wrong.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/master.i)
- (modules/stochastic_tools/test/tests/transfers/errors/master_wrong_control.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_wrong_control.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/master_transient.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/master_size_mismatch.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/master.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_moment.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_moments]
type = PolynomialChaosStatistics
pc_name = poly_chaos
compute = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/examples/sobol/master.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = -10
standard_deviation = 1.5
[]
[s]
type = Normal
mean = 1
standard_deviation = 0.25
[]
[]
[Samplers]
[hypercube_a]
type = LatinHypercube
num_rows = 10000
distributions = 'gamma q_0 T_0 s'
seed = 2011
[]
[hypercube_b]
type = LatinHypercube
num_rows = 10000
distributions = 'gamma q_0 T_0 s'
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = hypercube_a
sampler_b = hypercube_b
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = sobol
input_files = 'diffusion.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = sobol
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = sobol
to_vector_postprocessor = results
from_postprocessor = 'T_avg q_left'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[samples]
type = SamplerData
sampler = sobol
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[sobol]
type = SobolStatistics
sampler = sobol
results = results
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/combined/examples/stochastic/lhs_uniform.i)
[StochasticTools]
[]
[Distributions]
[cond_inner]
type = Uniform
lower_bound = 20
upper_bound = 30
[]
[cond_outer]
type = Uniform
lower_bound = 90
upper_bound = 110
[]
[heat_source]
type = Uniform
lower_bound = 9000
upper_bound = 11000
[]
[alpha_inner]
type = Uniform
lower_bound = 1e-6
upper_bound = 3e-6
[]
[alpha_outer]
type = Uniform
lower_bound = 5e-7
upper_bound = 1.5e-6
[]
[ymod_inner]
type = Uniform
lower_bound = 2e5
upper_bound = 2.2e5
[]
[ymod_outer]
type = Uniform
lower_bound = 3e5
upper_bound = 3.2e5
[]
[prat_inner]
type = Uniform
lower_bound = 0.29
upper_bound = 0.31
[]
[prat_outer]
type = Uniform
lower_bound = 0.19
upper_bound = 0.21
[]
[]
[Samplers]
[sample]
type = LatinHypercube
num_rows = 100000
distributions = 'cond_inner cond_outer heat_source alpha_inner alpha_outer ymod_inner ymod_outer prat_inner prat_outer'
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = graphite_ring_thermomechanics.i
sampler = sample
mode = batch-reset
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/cond_inner/prop_values Materials/cond_outer/prop_values
Postprocessors/heat_source/scale_factor
Materials/thermal_strain_inner/thermal_expansion_coeff Materials/thermal_strain_outer/thermal_expansion_coeff
Materials/elasticity_tensor_inner/youngs_modulus Materials/elasticity_tensor_outer/youngs_modulus
Materials/elasticity_tensor_inner/poissons_ratio Materials/elasticity_tensor_outer/poissons_ratio'
to_control = 'stochastic'
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = 'temp_center_inner temp_center_outer temp_end_inner temp_end_outer
dispx_center_inner dispx_center_outer dispx_end_inner dispx_end_outer
dispz_inner dispz_outer'
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = 'storage'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = TIMESTEP_END
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/monte_carlo.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/monte_carlo/monte_carlo.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 10
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_missing_control.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub_missing_control.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/surrogates/pod_rb/boundary/trainer.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[Dir_dist]
type = Uniform
lower_bound = 0
upper_bound = 1
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist Dir_dist'
num_rows = 5
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value BCs/left/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'from_multiapp'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'to_multiapp'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
multi_app = sub
sampler = sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf dir_src dir_imp'
tag_types = 'op op src src_dir op_dir'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[]
(modules/stochastic_tools/examples/batch/full_solve.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
to_control = receiver
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[]
(modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/trainer.i)
[StochasticTools]
[]
[Distributions]
[D012_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D1_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D2_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D3_dist]
type = Uniform
lower_bound = 0.15
upper_bound = 0.6
[]
[absxs0_dist]
type = Uniform
lower_bound = 0.0425
upper_bound = 0.17
[]
[absxs1_dist]
type = Uniform
lower_bound = 0.065
upper_bound = 0.26
[]
[absxs2_dist]
type = Uniform
lower_bound = 0.04
upper_bound = 0.16
[]
[absxs3_dist]
type = Uniform
lower_bound = 0.005
upper_bound = 0.02
[]
[src_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'D012_dist D012_dist D012_dist D3_dist
absxs0_dist absxs1_dist absxs2_dist absxs3_dist
src_dist src_dist src_dist'
num_rows = 100
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/D0/prop_values
Materials/D1/prop_values
Materials/D2/prop_values
Materials/D3/prop_values
Materials/absxs0/prop_values
Materials/absxs1/prop_values
Materials/absxs2/prop_values
Materials/absxs3/prop_values
Kernels/src0/value
Kernels/src1/value
Kernels/src2/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'from_multiapp'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'to_multiapp'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'psi'
error_res = '1e-9'
tag_names = 'diff0 diff1 diff2 diff3 abs0 abs1 abs2 abs3 src0 src1 src2'
tag_types = 'op op op op op op op op src src src'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 100
upper_bound = 200
[]
[uniform_1]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_0 uniform_1'
execute_on = INITIAL
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[data]
type = SamplerData
sampler = mc
[]
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/master_not_enough_data.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_prop_a]
type = Uniform
lower_bound = 1980
upper_bound = 1981
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_prop_a'
execute_on = 'initial timestep_end' # create new random numbers on initial and timestep_end
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'initial timestep_end'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/mat/prop_values'
to_control = 'stochastic'
execute_on = 'initial timestep_end'
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'initial timestep_end'
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_locs.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[grid]
type = CartesianProduct
linear_space_items = '2.5 0.5 10 2.5 0.5 10'
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[local_sense]
type = PolynomialChaosLocalSensitivity
pc_name = poly_chaos
local_points_sampler = grid
local_points = '3.14159 3.14159 2.7182 3.14159 3.14159 2.7182 2.7182 2.7182'
output_points = true
sensitivity_parameters = '0 1'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_moment.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_moments]
type = PolynomialChaosStatistics
pc_name = poly_chaos
compute = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[uniform_right]
type = Uniform
lower_bound = 10
upper_bound = 20
[]
[uniform_prop_a]
type = Uniform
lower_bound = 1980
upper_bound = 1981
[]
[uniform_prop_b]
type = Uniform
lower_bound = 1949
upper_bound = 1950
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_prop_a uniform_prop_b uniform_right'
execute_on = 'initial timestep_end' # create new random numbers on initial and timestep_end
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'initial timestep_end'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value Materials/mat/prop_values BCs/right/value'
to_control = 'stochastic'
execute_on = 'initial timestep_end'
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'initial timestep_end'
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 100
distributions = 'D_dist S_dist'
execute_on = timestep_end
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerReporterTransfer
multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[]
[VectorPostprocessors]
[pc_coeff]
type = PolynomialChaosData
pc_name = poly_chaos
execute_on = final
[]
[pc_samp]
type = EvaluateSurrogate
model = poly_chaos
sampler = sample
output_samples = true
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master_2sub.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 100
upper_bound = 200
[]
[uniform_1]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc0]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_0'
execute_on = INITIAL
[]
[mc1]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_1'
execute_on = INITIAL
[]
[]
[MultiApps]
[runner0]
type = SamplerFullSolveMultiApp
sampler = mc0
input_files = 'sub.i'
mode = batch-reset
[]
[runner1]
type = SamplerFullSolveMultiApp
sampler = mc1
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[runner0]
type = SamplerParameterTransfer
multi_app = runner0
sampler = mc0
parameters = 'BCs/left/value'
to_control = 'stochastic'
[]
[runner1]
type = SamplerParameterTransfer
multi_app = runner1
sampler = mc1
parameters = 'BCs/right/value'
to_control = 'stochastic'
[]
[data0]
type = SamplerPostprocessorTransfer
multi_app = runner0
sampler = mc0
to_vector_postprocessor = storage0
from_postprocessor = average
[]
[data1]
type = SamplerPostprocessorTransfer
multi_app = runner1
sampler = mc1
to_vector_postprocessor = storage1
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage0]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[storage1]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[data0]
type = SamplerData
sampler = mc0
[]
[data1]
type = SamplerData
sampler = mc1
[]
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/sobol.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/multiapps/dynamic_sub_app_number/main.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc]
type = TestDynamicNumberOfSubAppsSampler
num_rows = 5
distributions = 'uniform'
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
sampler = mc
parameters = 'BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = center
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
[out]
type = JSON
execute_system_information_on = NONE
vectorpostprocessors_as_reporters = true
[]
[]
(modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer_and_surr.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[train_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
[]
[test_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 10
seed = 17
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = sub
sampler = train_sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
direction = 'from_multiapp'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
direction = 'to_multiapp'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
multi_app = sub
sampler = train_sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Surrogates]
[rbpod]
type = PODReducedBasisSurrogate
trainer = pod_rb
[]
[]
[VectorPostprocessors]
[res]
type = PODSurrogateTester
model = rbpod
sampler = test_sample
variable_name = "u"
to_compute = nodal_max
execute_on = 'final'
[]
[]
(modules/stochastic_tools/test/tests/transfers/sobol/sobol.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_num_parameters_wrong.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value BCs/right/value'
to_control = 'stochastic'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer_and_surr.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[train_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
[]
[test_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 10
seed = 17
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = sub
sampler = train_sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
direction = 'from_multiapp'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
direction = 'to_multiapp'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
multi_app = sub
sampler = train_sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Surrogates]
[rbpod]
type = PODReducedBasisSurrogate
trainer = pod_rb
[]
[]
[VectorPostprocessors]
[res]
type = PODSurrogateTester
model = rbpod
sampler = test_sample
variable_name = "u"
to_compute = nodal_max
execute_on = 'final'
[]
[]
[Outputs]
execute_on = 'final'
csv = true
[]
(modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
contains_complete_history = true
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[Outputs]
[out]
type = CSV
[]
[]
(modules/combined/examples/stochastic/poly_chaos_train_uniform.i)
[StochasticTools]
[]
[Distributions]
[cond_inner]
type = Uniform
lower_bound = 20
upper_bound = 30
[]
[cond_outer]
type = Uniform
lower_bound = 90
upper_bound = 110
[]
[heat_source]
type = Uniform
lower_bound = 9000
upper_bound = 11000
[]
[alpha_inner]
type = Uniform
lower_bound = 1e-6
upper_bound = 3e-6
[]
[alpha_outer]
type = Uniform
lower_bound = 5e-7
upper_bound = 1.5e-6
[]
[ymod_inner]
type = Uniform
lower_bound = 2e5
upper_bound = 2.2e5
[]
[ymod_outer]
type = Uniform
lower_bound = 3e5
upper_bound = 3.2e5
[]
[prat_inner]
type = Uniform
lower_bound = 0.29
upper_bound = 0.31
[]
[prat_outer]
type = Uniform
lower_bound = 0.19
upper_bound = 0.21
[]
[]
[GlobalParams]
distributions = 'cond_inner cond_outer heat_source alpha_inner alpha_outer ymod_inner ymod_outer prat_inner prat_outer'
[]
[Samplers]
[sample]
type = Quadrature
sparse_grid = smolyak
order = 5
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = graphite_ring_thermomechanics.i
sampler = sample
mode = batch-reset
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/cond_inner/prop_values Materials/cond_outer/prop_values
Postprocessors/heat_source/scale_factor
Materials/thermal_strain_inner/thermal_expansion_coeff Materials/thermal_strain_outer/thermal_expansion_coeff
Materials/elasticity_tensor_inner/youngs_modulus Materials/elasticity_tensor_outer/youngs_modulus
Materials/elasticity_tensor_inner/poissons_ratio Materials/elasticity_tensor_outer/poissons_ratio'
to_control = 'stochastic'
check_multiapp_execute_on = false
[]
[data]
type = SamplerReporterTransfer
multi_app = sub
sampler = sample
stochastic_reporter = storage
from_reporter = 'temp_center_inner/value temp_center_outer/value temp_end_inner/value temp_end_outer/value
dispx_center_inner/value dispx_center_outer/value dispx_end_inner/value dispx_end_outer/value
dispz_inner/value dispz_outer/value'
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[]
[Trainers]
[temp_center_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_center_inner:value
[]
[temp_center_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_center_outer:value
[]
[temp_end_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_end_inner:value
[]
[temp_end_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_end_outer:value
[]
[dispx_center_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_center_inner:value
[]
[dispx_center_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_center_outer:value
[]
[dispx_end_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_end_inner:value
[]
[dispx_end_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_end_outer:value
[]
[dispz_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispz_inner:value
[]
[dispz_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispz_outer:value
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'temp_center_inner temp_center_outer temp_end_inner temp_end_outer
dispx_center_inner dispx_center_outer dispx_end_inner dispx_end_outer
dispz_inner dispz_outer'
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[snapshots]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'from_multiapp'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[pod_modes]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'to_multiapp'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
multi_app = sub
sampler = sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[]
(modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/full_order.i)
[StochasticTools]
[]
[Distributions]
[D012_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D3_dist]
type = Uniform
lower_bound = 0.15
upper_bound = 0.6
[]
[absxs0_dist]
type = Uniform
lower_bound = 0.0425
upper_bound = 0.17
[]
[absxs1_dist]
type = Uniform
lower_bound = 0.065
upper_bound = 0.26
[]
[absxs2_dist]
type = Uniform
lower_bound = 0.04
upper_bound = 0.16
[]
[absxs3_dist]
type = Uniform
lower_bound = 0.005
upper_bound = 0.02
[]
[src_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'D012_dist D012_dist D012_dist D3_dist
absxs0_dist absxs1_dist absxs2_dist absxs3_dist
src_dist src_dist src_dist'
num_rows = 1000
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
execute_on = 'timestep_begin'
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = runner
sampler = sample
parameters = 'Materials/D0/prop_values
Materials/D1/prop_values
Materials/D2/prop_values
Materials/D3/prop_values
Materials/absxs0/prop_values
Materials/absxs1/prop_values
Materials/absxs2/prop_values
Materials/absxs3/prop_values
Kernels/src0/value
Kernels/src1/value
Kernels/src2/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = sample
to_vector_postprocessor = results
from_postprocessor = 'nodal_l2'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_transfer_wrong_sampler.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[wrong]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
sampler = sample
input_files = sub.i
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = wrong
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochasticsub'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_locs.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[grid]
type = CartesianProduct
linear_space_items = '2.5 0.5 10 3 1 10'
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[local_sense]
type = PolynomialChaosLocalSensitivity
pc_name = poly_chaos
local_points_sampler = grid
local_points = '3.14159 3.14159 2.7182 3.14159 3.14159 2.7182 2.7182 2.7182'
output_points = true
sensitivity_parameters = '0 1'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/multiapps/partitioning/main_transient.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[GlobalParams]
sampler = sample
[]
[MultiApps/sub]
type = SamplerTransientMultiApp
input_files = sub_transient.i
[]
[Controls/cli]
type = MultiAppCommandLineControl
multi_app = sub
param_names = 'Postprocessors/pp1/scale_factor'
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
to_control = receiver
parameters = 'Postprocessors/pp2/scale_factor'
[]
[rep]
type = SamplerReporterTransfer
multi_app = sub
stochastic_reporter = reporter
from_reporter = 'pp1/value'
[]
[pp]
type = SamplerPostprocessorTransfer
multi_app = sub
to_vector_postprocessor = vpp
from_postprocessor = 'pp2'
[]
[]
[VectorPostprocessors/vpp]
type = StochasticResults
[]
[Reporters]
[reporter]
type = StochasticReporter
outputs = none
[]
[check]
type = TestReporterPartitioning
sampler = sample
reporters = 'reporter/rep:pp1:value vpp/pp:pp2'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[Outputs]
csv = true
execute_on = timestep_end
[]
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = TransientMultiApp
input_files = sub.i
positions = '0 0 0'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = timestep_end
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/examples/batch/transient.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
[]
[]
[Executioner]
type = Transient
num_steps = 10
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'INITIAL TIMESTEP_END'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
to_control = receiver
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[]
(modules/stochastic_tools/test/tests/multiapps/transient_with_full_solve/main.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 10
[]
[]
[Samplers]
[dynamic]
type = MonteCarlo
num_rows = 5
distributions = 'uniform'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = dynamic
input_files = 'sub.i'
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = dynamic
parameters = 'BCs/right/value'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = dynamic
to_vector_postprocessor = results
from_postprocessor = 'center'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Outputs]
[out]
type = JSON
execute_system_information_on = NONE
vectorpostprocessors_as_reporters = true
[]
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_mc.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 100
distributions = 'D_dist S_dist'
execute_on = initial
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = sample
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerReporterTransfer
multi_app = quad_sub
sampler = sample
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[]
[VectorPostprocessors]
[pc_coeff]
type = PolynomialChaosData
pc_name = poly_chaos
execute_on = final
[]
[pc_samp]
type = EvaluateSurrogate
model = poly_chaos
sampler = sample
output_samples = true
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = sample
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/errors/master_missing_control.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub_missing_control.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/errors/master_multiapp_type_error.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = TransientMultiApp
input_files = sub.i
positions = '0 0 0'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochasticsub'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_reporter/main_batch.i)
[StochasticTools]
[]
[Samplers]
[sample]
type = CartesianProduct
linear_space_items = '0.0 0.1 10'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-restore
[]
[]
[Transfers]
[data]
type = SamplerReporterTransfer
multi_app = sub
sampler = sample
stochastic_reporter = storage
from_reporter = 'pp/value constant/str mesh/sidesets'
[]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value'
to_control = stm
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[]
[Outputs]
[out]
type = JSON
execute_system_information_on = none
[]
[]
(modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_uniform.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Uniform
lower_bound = 0.21
upper_bound = 0.39
[]
[mu2]
type = Uniform
lower_bound = 6.3
upper_bound = 11.7
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'nonlin_diff_react_sub.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = hypercube
parameters = 'Kernels/nonlin_function/mu1 Kernels/nonlin_function/mu2'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'max min average'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/test/tests/multiapps/partitioning/main.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[GlobalParams]
sampler = sample
[]
[MultiApps/sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
[]
[Controls/cli]
type = MultiAppCommandLineControl
multi_app = sub
param_names = 'Postprocessors/pp1/scale_factor'
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
to_control = receiver
parameters = 'Postprocessors/pp2/scale_factor'
[]
[rep]
type = SamplerReporterTransfer
multi_app = sub
stochastic_reporter = reporter
from_reporter = 'pp1/value'
[]
[pp]
type = SamplerPostprocessorTransfer
multi_app = sub
to_vector_postprocessor = vpp
from_postprocessor = 'pp2'
[]
[]
[VectorPostprocessors/vpp]
type = StochasticResults
[]
[Reporters]
[reporter]
type = StochasticReporter
outputs = none
[]
[check]
type = TestReporterPartitioning
sampler = sample
reporters = 'reporter/rep:pp1:value vpp/pp:pp2'
[]
[]
[Outputs]
csv = true
execute_on = timestep_end
[]
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = TIMESTEP_BEGIN
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_multiapp_type_error.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = TransientMultiApp
input_files = sub.i
positions = '0 0 0'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochasticsub'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/examples/parameter_study/master.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = -10
standard_deviation = 1.5
[]
[s]
type = Normal
mean = 1
standard_deviation = 0.25
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'gamma q_0 T_0 s'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'diffusion.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'T_avg q_left'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[samples]
type = SamplerData
sampler = hypercube
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_normal.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.3
standard_deviation = 0.045
[]
[mu2]
type = Normal
mean = 9
standard_deviation = 1.35
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'nonlin_diff_react_sub.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = hypercube
parameters = 'Kernels/nonlin_function/mu1 Kernels/nonlin_function/mu2'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'max min average'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/require_stochastic_results.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = timestep_end
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = ConstantVectorPostprocessor
value = 0
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/transfers/errors/master_num_parameters_wrong.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value BCs/right/value'
to_control = 'stochastic'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sobol]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[mc]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = mc
[]
[]
[Transfers]
[sobol]
type = SamplerParameterTransfer
multi_app = sobol
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[sobol_data]
type = SamplerPostprocessorTransfer
multi_app = sobol
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[mc]
type = SamplerParameterTransfer
multi_app = mc
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[mc_data]
type = SamplerPostprocessorTransfer
multi_app = mc
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = "avg max"
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/errors/master_wrong_control.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub_wrong_control.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/master_wrong_control.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub_wrong_control.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[snapshot]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'from_multiapp'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
direction = 'to_multiapp'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
multi_app = sub
sampler = sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/master_transient.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 2
upper_bound = 4
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform uniform'
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[MultiApps]
[runner]
type = SamplerTransientMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'INITIAL TIMESTEP_BEGIN'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/master_size_mismatch.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_prop_a]
type = Uniform
lower_bound = 1980
upper_bound = 1981
[]
[uniform_prop_b]
type = Uniform
lower_bound = 1949
upper_bound = 1950
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_prop_a uniform_prop_b'
execute_on = 'initial timestep_end' # create new random numbers on initial and timestep_end
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'initial timestep_end'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/*/prop_values'
to_control = 'stochastic'
execute_on = 'initial timestep_end'
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'initial timestep_end'
[]
(modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'poly_chaos'
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 100
distributions = 'D_dist S_dist'
execute_on = timestep_end
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_coeff]
type = PolynomialChaosData
pc_name = poly_chaos
execute_on = final
[]
[pc_samp]
type = EvaluateSurrogate
model = poly_chaos
sampler = sample
output_samples = true
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = DISTRIBUTED
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_moments]
type = PolynomialChaosStatistics
pc_name = poly_chaos
compute = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Outputs]
csv = true
execute_on = FINAL
[]