602560c46a
Neural Acceleration (MLP Surrogate): - Add run_nn_optimization.py with hybrid FEA/NN workflow - MLP architecture: 4-layer (64->128->128->64) with BatchNorm/Dropout - Three workflow modes: - --all: Sequential export->train->optimize->validate - --hybrid-loop: Iterative Train->NN->Validate->Retrain cycle - --turbo: Aggressive single-best validation (RECOMMENDED) - Turbo mode: 5000 NN trials + 50 FEA validations in ~12 minutes - Separate nn_study.db to avoid overloading dashboard Performance Results (bracket_pareto_3obj study): - NN prediction errors: mass 1-5%, stress 1-4%, stiffness 5-15% - Found minimum mass designs at boundary (angle~30deg, thick~30mm) - 100x speedup vs pure FEA exploration Protocol Operating System: - Add .claude/skills/ with Bootstrap, Cheatsheet, Context Loader - Add docs/protocols/ with operations (OP_01-06) and system (SYS_10-14) - Update SYS_14_NEURAL_ACCELERATION.md with MLP Turbo Mode docs NX Automation: - Add optimization_engine/hooks/ for NX CAD/CAE automation - Add study_wizard.py for guided study creation - Fix FEM mesh update: load idealized part before UpdateFemodel() New Study: - bracket_pareto_3obj: 3-objective Pareto (mass, stress, stiffness) - 167 FEA trials + 5000 NN trials completed - Demonstrates full hybrid workflow 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
146 lines
3.8 KiB
JSON
146 lines
3.8 KiB
JSON
{
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"study_name": "bracket_pareto_3obj",
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"description": "Three-objective Pareto optimization: minimize mass, minimize stress, maximize stiffness",
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"engineering_context": "Generated by StudyWizard on 2025-12-06 14:43",
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"template_info": {
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"category": "structural",
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"analysis_type": "static",
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"typical_applications": [],
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"neural_enabled": false
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},
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"optimization_settings": {
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"protocol": "protocol_11_multi",
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"n_trials": 100,
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"sampler": "NSGAIISampler",
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"pruner": null,
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"timeout_per_trial": 400
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},
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"design_variables": [
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{
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"parameter": "support_angle",
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"bounds": [
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20,
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70
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],
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"description": "Angle of support arm relative to base",
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"units": "degrees"
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},
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{
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"parameter": "tip_thickness",
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"bounds": [
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30,
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60
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],
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"description": "Thickness at bracket tip where load is applied",
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"units": "mm"
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}
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],
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"objectives": [
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{
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"name": "mass",
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"goal": "minimize",
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"weight": 1.0,
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"description": "Total bracket mass (kg)",
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"extraction": {
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"action": "extract_mass_from_bdf",
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"domain": "result_extraction",
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"params": {}
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}
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},
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{
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"name": "stress",
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"goal": "minimize",
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"weight": 1.0,
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"description": "Maximum von Mises stress (MPa)",
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"extraction": {
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"action": "extract_solid_stress",
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"domain": "result_extraction",
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"params": {
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"metric": "max_von_mises"
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}
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}
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},
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{
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"name": "stiffness",
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"goal": "maximize",
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"weight": 1.0,
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"description": "Structural stiffness = Force/Displacement (N/mm)",
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"extraction": {
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"action": "extract_displacement",
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"domain": "result_extraction",
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"params": {
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"invert_for_stiffness": true
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}
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}
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}
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],
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"constraints": [
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{
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"name": "stress_limit",
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"type": "less_than",
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"threshold": 300,
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"description": "Keep stress below 300 MPa for safety margin",
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"extraction": {
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"action": "extract_solid_stress",
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"domain": "result_extraction",
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"params": {}
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}
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}
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],
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"simulation": {
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"model_file": "Bracket.prt",
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"sim_file": "Bracket_sim1.sim",
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"fem_file": "Bracket_fem1.fem",
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"solver": "nastran",
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"analysis_types": [
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"static"
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],
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"solution_name": "Solution 1",
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"dat_file": "bracket_sim1-solution_1.dat",
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"op2_file": "bracket_sim1-solution_1.op2"
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},
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"result_extraction": {
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"mass": {
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"method": "extract_mass_from_bdf",
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"extractor_module": "optimization_engine.extractors.bdf_mass_extractor",
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"function": "extract_mass_from_bdf",
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"output_unit": "kg"
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},
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"stress": {
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"method": "extract_solid_stress",
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"extractor_module": "optimization_engine.extractors.extract_von_mises_stress",
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"function": "extract_solid_stress",
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"output_unit": "MPa"
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},
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"stiffness": {
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"method": "extract_displacement",
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"extractor_module": "optimization_engine.extractors.extract_displacement",
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"function": "extract_displacement",
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"output_unit": "mm"
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},
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"stress_limit": {
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"method": "extract_solid_stress",
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"extractor_module": "optimization_engine.extractors.extract_von_mises_stress",
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"function": "extract_solid_stress",
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"output_unit": "MPa"
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}
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},
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"reporting": {
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"generate_plots": true,
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"save_incremental": true,
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"llm_summary": true,
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"generate_pareto_front": true
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},
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"neural_acceleration": {
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"enabled": true,
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"min_training_points": 50,
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"auto_train": true,
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"epochs": 300,
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"validation_split": 0.2,
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"nn_trials": 1000,
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"validate_top_n": 10,
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"model_file": "surrogate_best.pt",
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"separate_nn_database": true,
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"description": "NN results stored in nn_study.db to avoid overloading dashboard"
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}
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} |