# Orcaflex Modal Analysis Model Preparation

> Sub-skill of orcaflex-modal-analysis: Model Preparation (+2).

- Skill: `vamseeachanta/orcaflex-modal-analysis-model-preparation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/orcaflex-modal-analysis-model-preparation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/orcaflex-modal-analysis-model-preparation/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/orcaflex-modal-analysis-model-preparation

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# Model Preparation (+2)

## Model Preparation


1. **Ensure static convergence** before modal analysis
2. **Use appropriate segment lengths** for accurate mode shapes
3. **Include all relevant objects** in the analysis
4. **Consider boundary conditions** (fixed vs. free ends)


## Analysis Configuration


1. **Number of modes** - Start with 20-30 modes, increase if needed
2. **DOF thresholds** - Use 10-15% for initial screening
3. **Object selection** - Focus on critical structural members
4. **Batch processing** - Compare across configurations


## Results Interpretation


1. **Low-frequency modes** - Often global bending/heave
2. **High-frequency modes** - Local vibrations, may indicate VIV risk
3. **Mixed DOF modes** - Coupled motions, require careful assessment
4. **Clustering** - Multiple modes at similar frequencies indicate sensitivity