pfa¶
Module containing Path Flux Analysis (PFA) reduction method.
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pymars.pfa.
create_pfa_matrix
(state, solution)¶ Creates PFA adjacency matrix based on direct interaction coefficients
- Parameters
state (tuple) – Tuple of state with temperature, pressure, and species mass fractions
solution (cantera.Solution) – Cantera object of the solution being analyzed
- Returns
adjacency_matrix – Adjacency matrix based on calculated direct interaction coefficients
- Return type
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pymars.pfa.
graph_search
(graph, target_species)¶ Search nodal graph and generate list of species to remove
- Parameters
graph (networkx.DiGraph) – graph representing reaction system
target_species (list) – List of target species to search from
- Returns
reached_species – List of species reachable from targets in graph
- Return type
list of str
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pymars.pfa.
reduce_pfa
(model_file, species_targets, species_safe, threshold, matrices, ignition_conditions, sampled_metrics, phase_name='', previous_model=None, threshold_upper=None, num_threads=1, path='')¶ Given a threshold and PFA matrix, reduce the model and determine the error.
- Parameters
model_file (str) – Filename for model being reduced
species_targets (list of str) – List of target species names
species_safe (list of str) – List of species to always be retained
threshold (float) – PFA threshold for trimming graph
matrices (list of numpy.ndarray) – List of PFA adjacency matrices determined from thermochemical state data
ignition_conditions (list of InputIgnition) – List of autoignition initial conditions.
sampled_metrics (numpy.ndarray) – Global metrics from original model used to evaluate error
phase_name (str, optional) – Optional name for phase to load from CTI file (e.g., ‘gas’).
previous_model (ReducedModel, optional) – Model produced at previous threshold level; used to avoid repeated work.
threshold_upper (float, optional) – Optional upper threshold (epsilon^star) used to identify species for further sensitivity analysis
num_threads (int, optional) – Number of CPU threads to use for performing simulations in parallel. Optional; default = 1, in which the multiprocessing module is not used. If 0, then use the available number of cores minus one. Otherwise, use the specified number of threads.
path (str, optional) – Optional path for writing files
- Returns
Return reduced model and associated metadata
- Return type
-
pymars.pfa.
run_pfa
(model_file, ignition_conditions, psr_conditions, flame_conditions, error_limit, species_targets, species_safe, phase_name='', threshold_upper=None, num_threads=1, path='')¶ Main function for running PFA reduction.
- Parameters
model_file (str) – Original model file
ignition_conditions (list of InputIgnition) – List of autoignition initial conditions.
psr_conditions (list of InputPSR, optional) – List of PSR simulation conditions.
flame_conditions (list of InputLaminarFlame, optional) – List of laminar flame simulation conditions.
error_limit (float) – Maximum allowable error level for reduced model
species_targets (list of str) – List of target species names
species_safe (list of str) – List of species names to always be retained
phase_name (str, optional) – Optional name for phase to load from CTI file (e.g., ‘gas’).
threshold_upper (float, optional) – Upper threshold (epsilon^*) to identify limbo species for sensitivity analysis
num_threads (int, optional) – Number of CPU threads to use for performing simulations in parallel. Optional; default = 1, in which the multiprocessing module is not used. If 0, then use the available number of cores minus one. Otherwise, use the specified number of threads.
path (str, optional) – Optional path for writing files
- Returns
Return reduced model and associated metadata
- Return type
-
pymars.pfa.
trim_pfa
(matrix, species_names, species_targets, threshold)¶ - Parameters
matrix (np.ndarray) – Adjacency matrix representing graph
species_names (list of str) – List of all species names
species_targets (list of str) – List of target species names
threshold (float) – PFA threshold for trimming graph
- Returns
species_reached – Names of species reached in graph search
- Return type
list of str