orcawave

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 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%+