feat: Add AtomizerField training data export and intelligent model discovery

Major additions:
- Training data export system for AtomizerField neural network training
- Bracket stiffness optimization study with 50+ training samples
- Intelligent NX model discovery (auto-detect solutions, expressions, mesh)
- Result extractors module for displacement, stress, frequency, mass
- User-generated NX journals for advanced workflows
- Archive structure for legacy scripts and test outputs
- Protocol documentation and dashboard launcher

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2025-11-26 12:01:50 -05:00
parent a0c008a593
commit 2b3573ec42
949 changed files with 1405144 additions and 470 deletions

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{
"study_name": "bracket_stiffness_optimization_atomizerfield",
"description": "Bracket Stiffness Optimization with AtomizerField Neural Acceleration - Multi-objective optimization of bracket geometry for maximum stiffness and minimum mass",
"engineering_context": "L-bracket optimization for mounting applications. Uses AtomizerField neural surrogate for accelerated optimization after initial FEA exploration phase.",
"template_info": {
"category": "structural",
"analysis_type": "static",
"typical_applications": ["mounting brackets", "L-brackets", "support structures"],
"based_on": "bracket_stiffness_optimization_V3",
"neural_enabled": true
},
"optimization_settings": {
"protocol": "protocol_11_multi_objective",
"n_trials": 100,
"sampler": "NSGAIISampler",
"pruner": null,
"timeout_per_trial": 400,
"fea_exploration_trials": 50,
"neural_acceleration_trials": 50
},
"design_variables": [
{
"parameter": "support_angle",
"bounds": [20, 70],
"description": "Angle of the support arm (degrees)",
"units": "degrees"
},
{
"parameter": "tip_thickness",
"bounds": [30, 60],
"description": "Thickness at the bracket tip (mm)",
"units": "mm"
}
],
"objectives": [
{
"name": "stiffness",
"goal": "maximize",
"weight": 1.0,
"description": "Structural stiffness (inverse of max displacement)",
"extraction": {
"action": "extract_displacement",
"domain": "result_extraction",
"params": {
"result_type": "displacement",
"metric": "max",
"invert_for_stiffness": true
}
}
},
{
"name": "mass",
"goal": "minimize",
"weight": 0.1,
"description": "Total bracket mass (kg)",
"extraction": {
"action": "extract_mass",
"domain": "result_extraction",
"params": {
"result_type": "mass",
"metric": "total"
}
}
}
],
"constraints": [
{
"name": "mass_limit",
"type": "less_than",
"threshold": 0.2,
"description": "Maximum mass constraint (kg)",
"extraction": {
"action": "extract_mass",
"domain": "result_extraction",
"params": {
"result_type": "mass",
"metric": "total"
}
}
}
],
"simulation": {
"model_file": "Bracket.prt",
"sim_file": "Bracket_sim1.sim",
"fem_file": "Bracket_fem1.fem",
"solver": "nastran",
"analysis_types": ["static"],
"solution_name": "Solution 1",
"dat_file": "bracket_sim1-solution_1.dat",
"op2_file": "bracket_sim1-solution_1.op2",
"field_export_journal": "export_displacement_field.py",
"field_output_file": "export_field_dz.fld"
},
"result_extraction": {
"mass": {
"method": "bdf_mass_extractor",
"source": "bracket_sim1-solution_1.dat",
"extractor_module": "optimization_engine.extractors.bdf_mass_extractor",
"function": "extract_mass_from_bdf",
"output_unit": "kg"
},
"stiffness": {
"method": "stiffness_calculator",
"displacement_source": "export_field_dz.fld",
"force_source": "bracket_sim1-solution_1.op2",
"extractor_module": "optimization_engine.extractors.stiffness_calculator",
"force_component": "fz",
"displacement_component": "z",
"output_unit": "N/mm"
},
"displacement": {
"method": "op2_displacement",
"source": "bracket_sim1-solution_1.op2",
"extractor_module": "optimization_engine.extractors.extract_displacement",
"function": "extract_displacement",
"output_unit": "mm"
}
},
"reporting": {
"generate_plots": true,
"save_incremental": true,
"llm_summary": true,
"generate_pareto_front": true
},
"training_data_export": {
"enabled": true,
"export_dir": "atomizer_field_training_data/bracket_stiffness_optimization_atomizerfield",
"export_every_n_trials": 1,
"include_mesh": true,
"compress": false
},
"neural_acceleration": {
"enabled": true,
"min_training_points": 50,
"auto_train": true,
"epochs": 100,
"validation_split": 0.2,
"retrain_threshold": 25,
"model_type": "parametric"
}
}