LAUNCHES DOE STUDY FROM SIMULATION

Launches a Design of Experiments (DOE) study by cloning and parametrically sweeping an existing simulation. Given a parameter matrix (the experiment table), it creates or reuses a named study, submits each experiment run to HPC, and collects responses via a response template.

When to use

Tagged: baseline, doe, hpc, optimization, parametric_sweep, random_sampling, response_collection, simulation.

Inputs

Label ID Type Default Required Description
Study Name study_name scalar Human-readable name assigned to the new (or existing) DOE study; must be unique within the project unless add_to_existing_study is enabled.
Study Description study_description textarea   Optional free-text description summarising the study objective; stored as metadata on the study record.
Simulation source_simulation_id remote_lookup Platform ID(s) of the baseline simulation(s) whose deck will be cloned and parameter-substituted for each experiment run.
Experiments parameters dataset Dataset (tabular) defining the experiment matrix — each row is one design point and each column is a named parameter to be substituted into the simulation deck.
HPC Config hpc_settings remote_lookup   Reference to a saved HPC configuration (cluster, queue, resource limits) used to submit all experiment jobs; leave blank to inherit the project default.
Response Template responsetemplate_id remote_lookup   ID(s) of response template(s) that define which KPIs/time-histories to extract automatically after each simulation completes.
Type of Experiment Selection baseline_only select yes Controls which experiments are executed: ‘Run Baseline Only’ (default, for deck verification), ‘Run all Experiments’, ‘Run Random Experiments’, ‘Run 3 Design Bounds’, ‘Collect Responses from Completed Simulations’, or ‘Verify Parameter Replacements’.
Add to existing Study add_to_existing_study select no   When enabled, if a study with the given study_name already exists the worker appends new experiments to it rather than creating a duplicate study.
Skip Submission skip_submission select no  
Sleep Interval After Job Submission sleep_after_submission   1   Number of seconds to sleep after each submission
Iteration number iteration_number   1   If the DOE has more than one state, we can specify this here to include in the simulation name
Simulation Start Number start_index   1   This number is associated with the Simulation starting with the baseline and incremented by 1
Ignore Source Simulation ignore_source select no  
Format format select no    
Number of Random Sampling num_random_sampling   3   If the option of sampling is set to Random, this number determines the number of random experiments to consider
Remove Simulations belonging to Study before creation clean_simulations select no  
Verify Template Extractions verify_template select no    
Reference Test physicaltest_id remote_lookup    

Outputs

Label ID Type Description
Study Id study_id text Platform ID of the created or reused DOE study; use this to reference the study in downstream workers.
Simulations simulations dataset Dataset listing all simulation records spawned by the study (one row per experiment), including their platform IDs and status.
Template template_id integer Integer ID of the response template applied to the study; propagated for use in downstream response-processing workers.
Responses responses dataset Dataset of extracted KPI/response values collected from all completed experiment simulations, keyed by experiment and response name.
Experiments with Simulation Ids experiments_with_sim_ids dataset Dataset merging the original experiment parameter matrix with the assigned simulation IDs, enabling traceability between design points and runs.
Logs logs dataset Dataset of execution and submission log messages for the study launch, useful for debugging failed or skipped experiments.

Disciplines

  • cae.postprocessing.response
  • design_exploration.doe
  • design_exploration.optimization
  • platform.hpc_config
  • platform.job_submission
  • platform.workflow

Auto-generated from platform schema. Worker id: doe_study_launcher_from_simulation. Schema hash: 0e4069495e3f. Hand-curated docs in workerexamples/ override this page when present.