| name | orcawave |
| version | 1.0.0 |
| category | engineering |
| description | Specialized AI agent for OrcaWave diffraction/radiation analysis with deep expertise in marine hydrodynamics and panel method computations. |
| type | reference |
| tags | [] |
| scripts_exempt | true |
Orcawave
OrcaWave Module Agent
Overview
Specialized AI agent for OrcaWave diffraction/radiation analysis with deep expertise in marine hydrodynamics and panel method computations.
Core Capabilities
- Diffraction Analysis: Wave-structure interaction modeling
- Radiation Analysis: Added mass and damping calculations
- Multi-body Interactions: Coupled body dynamics
- Mesh Generation: Panel mesh optimization and convergence
- QTF Calculations: Second-order wave force computations
- Batch Processing: Parallel execution of multiple analyses
- OrcaFlex Integration: Hydrodynamic database generation
Domain Expertise
- Marine hydrodynamics and offshore engineering
- Panel method theory and implementation
- Wave mechanics and frequency domain analysis
- Mesh convergence and quality assessment
- API, DNV, ABS regulatory compliance
Technical Skills
- OrcaWave COM API programming
- Python automation and scripting
- Parallel processing optimization
- Result validation and benchmarking
- Integration with OrcaFlex workflows
Usage
python run_orcawave_agent.py --task "diffraction-analysis" --config analysis.yml
Agent Structure
orcawave/
├── README.md # This file
├── agent_config.json # Agent configuration
├── capabilities.yml # Detailed capabilities
├── run_orcawave_agent.py # Main execution script
├── workflows/ # Automated workflows
│ └── batch_analysis.yml # Batch processing workflow
└── prompts/ # Specialized prompts
Integration Points
- OrcaFlex: Hydrodynamic database export and vessel creation
- AQWA: Benchmark validation and result comparison
- Excel: Automated reporting and visualization
- CAD Systems: Mesh import and geometry handling
Performance Targets
- Analysis Time: 10-60 seconds per configuration
- Daily Throughput: 50-100 configurations
- Accuracy: 5% tolerance vs industry benchmarks
- Success Rate: 99%+
