orcaflex-rao-import

name	orcaflex-rao-import
description	Import RAO (Response Amplitude Operator) data from external sources including AQWA, OrcaFlex, and CSV files. Includes validation, interpolation, and conversion for OrcaFlex vessel type creation.
type	reference
version	1.0.0
updated	"2026-01-17T00:00:00.000Z"
category	engineering
triggers	["RAO import","import vessel RAOs","AQWA to OrcaFlex","RAO conversion","vessel hydrodynamics","transfer functions","motion RAOs","RAO interpolation"]
capabilities	[]
requires	[]
tags	[]
scripts_exempt	true

Orcaflex Rao Import

When to Use

• Import RAOs from ANSYS AQWA analysis
• Extract RAOs from existing OrcaFlex models
• Import RAOs from experimental data (CSV/Excel)
• Validate RAO data quality
• Interpolate RAOs to new frequency/heading grids
• Create OrcaFlex vessel types with imported RAOs

Python API

Basic RAO Import

from digitalmodel.marine_ops.marine_analysis.rao_processor import RAOProcessor

# Initialize processor
processor = RAOProcessor()

# Import from AQWA
rao_data = processor.import_from_aqwa(
    file_path="data/vessel.lis",
    vessel_name="FPSO"

*See sub-skills for full details.*
### AQWA File Reading

```python
from digitalmodel.marine_ops.marine_analysis.aqwa_reader import AQWAReader

# Initialize reader
reader = AQWAReader()

# Read AQWA .lis file
aqwa_data = reader.read_lis_file("data/vessel_aqwa.lis")

# Extract motion RAOs

*See sub-skills for full details.*
### OrcaFlex RAO Reading

```python
from digitalmodel.marine_ops.marine_analysis.orcaflex_reader import OrcaFlexRAOReader

# Initialize reader
reader = OrcaFlexRAOReader()

# Read from OrcaFlex model
rao_data = reader.read_from_model("models/vessel_model.yml")

# Or read from vessel type definition
rao_data = reader.read_vessel_type("data/vessel_types/fpso_type.yml")

RAO Validation

from digitalmodel.marine_ops.marine_analysis.rao_validators import RAOValidator

# Initialize validator
validator = RAOValidator()

# Define validation limits
limits = {
    "surge": 10.0,
    : ,

*See sub-skills  full details.*


```python
 digitalmodel.marine_ops.marine_analysis.rao_interpolator  RAOInterpolator


interpolator = RAOInterpolator()


target_frequencies = np.linspace(, , )
target_headings = np.arange(, , )


*See sub-skills  full details.*


```python
 digitalmodel.marine_ops.marine_analysis.rao_processor  RAOProcessor

processor = RAOProcessor()


processor.export_to_orcaflex(
    rao_data,
    output_file=,
    vessel_name=,

*See sub-skills  full details.*


```python
 digitalmodel.marine_ops.marine_analysis.rao_processor  RAOProcessor
 digitalmodel.marine_ops.marine_analysis.rao_validators  RAOValidator
 digitalmodel.marine_ops.marine_analysis.rao_interpolator  RAOInterpolator


processor = RAOProcessor()
raw_raos = processor.import_from_aqwa()



*See sub-skills  full details.*



- [orcaflex-modeling](../orcaflex-modeling/SKILL.md) - Apply imported RAOs
- [orcawave/analysis](../orcawave/analysis/SKILL.md) - Generate RAOs  diffraction
- [aqwa-analysis](../aqwa-analysis/SKILL.md) - AQWA-specific processing
- [hydrodynamics](../hydrodynamics/SKILL.md) - Hydrodynamic coefficient management



- OrcaFlex: Vessel  RAO Data
- ANSYS AQWA: Output File Formats
- Source: `src/digitalmodel/modules/marine_analysis/rao_processor.py`
- Source: `src/digitalmodel/modules/marine_analysis/aqwa_reader.py`
- Source: `src/digitalmodel/modules/marine_analysis/orcaflex_reader.py`
- User Story: `.ai/specs/modules/user-story-rao-data--processing-md`



- [Basic Import Configuration (+)](basic--configuration/SKILL.md)
- [Data Quality (+)](data-quality/SKILL.md)



- [Error Handling](error-handling/SKILL.md)



- [Version Metadata](version-metadata/SKILL.md)
- [[] - -01-](--01-/SKILL.md)
- [Supported Formats](supported-formats/SKILL.md)
- [-DOF Motion RAOs](-dof-motion-raos/SKILL.md)
- [OrcaFlex YAML Format (+)](orcaflex-yaml-/SKILL.md)
- [AQWA Import (+)](aqwa-/SKILL.md)