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43 lines
1.5 KiB
43 lines
1.5 KiB
2 weeks ago
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# XVoxel
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基于体素（六面体）的多尺度拓扑优化框架，MATLAB 实现。使用弹性六面体单元进行有限元分析，结合 GCMMA 优化器实现结构优化设计，集成 Python SDF（有符号距离场）查询工具进行网格体素化。
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## 功能
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- 弹性六面体（ElasticHexa）单元的 FEM 分析，支持边模态、面模态、体模态
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- GCMMA / MMA 拓扑优化求解器
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- 基于 SDF 的网格体素化（Python + libigl）
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- ANSYS 结果可视化接口
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## 依赖
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- **MATLAB**：主计算框架
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- **Python 3.9+**：SDF 查询计算（`3rd/py_igl_sdf/`）
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- **libigl**：Python 端几何处理
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- **SuiteSparse**：MATLAB 稀疏求解器
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## 目录结构
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```
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.
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├── add_r_path.m # 添加 MATLAB 路径
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├── src/
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│ └── class/
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│ ├── @ElasticHexa/ # 弹性六面体单元类（形函数、梯度、模态等）
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│ ├── AnsysPloter.m # ANSYS 结果可视化
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│ └── cal_D/ # 本构矩阵计算
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├── 3rd/
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│ ├── GCMMA-MMA-code-1.5/ # GCMMA/MMA 优化器 MATLAB 实现
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│ ├── py_igl_sdf/ # Python SDF 查询工具
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│ └── SuiteSparse/ # 稀疏求解器
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└── asset/ # 测试模型（STL 等）
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```
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## 相关论文
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- Svanberg, K. (2002). A class of globally convergent optimization methods based on conservative convex separable approximations. *SIAM Journal on Optimization*.
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## 作者
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林成锋
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