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数据与复现
ME
mesh-generation
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mesh-generation
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- 提供 consistent workflow ，用于 selecting mesh resolution 、 checking mesh quality ，用于 PDE 模拟s。
- python3 scripts/grid_sizing.py --length 1.0 --resolution 200 --json。
原始文档
SKILL.md 摘录
Requirements
- Python 3.8+
- No external dependencies (uses stdlib)
Inputs to Gather
| Input | Description | Example |
|---|---|---|
| Domain size | Physical dimensions | 1.0 × 1.0 m |
| Feature size | Smallest feature to resolve | 0.01 m |
| Points per feature | Resolution requirement | 10 points |
| Aspect ratio limit | Maximum dx/dy ratio | 5:1 |
| Quality threshold | Skewness limit | < 0.8 |
Mesh Type Selection
| Problem | Recommended Mesh |
|---|---|
| Simple geometry, uniform | Structured Cartesian |
| Complex geometry | Unstructured triangular/tetrahedral |
| Boundary layers | Hybrid (structured near walls) |
| Adaptive refinement | Quadtree/Octree or AMR |
适用场景
- 适合在choosing grid resolution，checking aspect ratios/skewness，estimating mesh quality constraints，或 planning adaptive mesh refinement ，用于 PDE discretization时使用。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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