Agent skill
orcawave-qtf-analysis-when-to-use-full-qtf-vs-newman
Sub-skill of orcawave-qtf-analysis: When to Use Full QTF vs Newman (+2).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/engineering/marine-offshore/orcawave-qtf-analysis/when-to-use-full-qtf-vs-newman
SKILL.md
When to Use Full QTF vs Newman (+2)
When to Use Full QTF vs Newman
| Scenario | Recommendation |
|---|---|
| Initial design | Newman approximation |
| Mooring design | Full QTF |
| Shallow water (d < 100m) | Full QTF required |
| Deep water (d > 300m) | Newman often sufficient |
| Bi-directional seas | Full QTF |
| Long-crested seas | Newman acceptable |
| SPM/turret systems | Full QTF |
Computational Considerations
- Frequency Resolution: Use 20-30 frequencies minimum for accurate QTF
- Heading Pairs: Exploit symmetry to reduce computation
- Memory: Full QTF matrices can be large; consider frequency range
- Validation: Compare Newman vs Full for at least one condition
- Mesh Quality: QTF more sensitive to mesh than first-order
Integration with Mooring Analysis
from digitalmodel.orcawave.qtf import QTFMooringIntegration
# Prepare QTF for mooring analysis
integration = QTFMooringIntegration()
# Load QTF results
integration.load_qtf("results/qtf/fpso_full.yml")
# Convert to mooring analysis format
integration.export_for_mooring_analysis(
output_file="mooring/qtf_loading.yml",
format="OrcaFlex",
include_mean_drift=True,
include_slow_drift=True,
sea_state={
"hs": 4.0,
"tp": 10.0,
"gamma": 3.3
}
)
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