feat: Add NX study models and optimization histories

Includes all study folders with NX models for development:
- bracket_stiffness_optimization (V1, V2, V3)
- drone_gimbal_arm_optimization
- simple_beam_optimization
- uav_arm_optimization (V1, V2)
- training_data_export_test
- uav_arm_atomizerfield_test

Contains .prt, .fem, .sim files and optimization databases.

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

Co-Authored-By: Claude <noreply@anthropic.com>

studies/training_data_export_test/1_setup/workflow_config.json

@@ -0,0 +1,58 @@
+{
+  "study_name": "training_data_export_test",
+  "sim_file": "examples/Models/Circular Plate/Circular_Plate.sim",
+  "fem_file": "examples/Models/Circular Plate/Circular_Plate_fem1.fem",
+  "design_variables": [
+    {
+      "name": "thickness",
+      "expression_name": "thickness",
+      "min": 2.0,
+      "max": 8.0
+    },
+    {
+      "name": "radius",
+      "expression_name": "radius",
+      "min": 80.0,
+      "max": 120.0
+    }
+  ],
+  "objectives": [
+    {
+      "name": "max_stress",
+      "type": "minimize",
+      "extractor": {
+        "type": "result_parameter",
+        "parameter_name": "Max Von Mises Stress"
+      }
+    },
+    {
+      "name": "mass",
+      "type": "minimize",
+      "extractor": {
+        "type": "expression",
+        "expression_name": "mass"
+      }
+    }
+  ],
+  "constraints": [
+    {
+      "name": "stress_limit",
+      "type": "less_than",
+      "value": 300.0,
+      "extractor": {
+        "type": "result_parameter",
+        "parameter_name": "Max Von Mises Stress"
+      }
+    }
+  ],
+  "optimization": {
+    "algorithm": "NSGA-II",
+    "n_trials": 10,
+    "population_size": 4
+  },
+  "training_data_export": {
+    "enabled": true,
+    "export_dir": "atomizer_field_training_data/test_study_001"
+  },
+  "version": "1.0"
+}

studies/training_data_export_test/run_optimization.py

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+"""Run optimization for training data export test."""
+import sys
+from pathlib import Path
+
+# Add parent directory to path
+sys.path.insert(0, str(Path(__file__).parent.parent.parent))
+
+from optimization_engine.runner import OptimizationRunner
+
+def main():
+    """Run the optimization."""
+    config_path = Path(__file__).parent / "1_setup" / "workflow_config.json"
+    runner = OptimizationRunner(config_path)
+    runner.run()
+
+if __name__ == "__main__":
+    main()