{
  "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"
  }
}