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README.md
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---
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language:
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- en
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tags:
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- openfoam
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- cfd
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- computational-fluid-dynamics
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- simulation
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- reference-data
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---
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# pyOpenFOAM Reference Data
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OpenFOAM-
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| Property | Value |
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|----------|-------|
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| **Total cases** |
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| **Categories** | 21 |
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| **Source** | OpenFOAM v11
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| Category | Count | Description |
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|----------|-------|-------------|
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| `fluid` | ~80 | General incompressible fluid dynamics |
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| `incompressibleFluid` | ~30 | Incompressible flow solvers |
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| `compressibleVoF` | ~15 | Compressible Volume-of-Fluid multiphase |
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| `incompressibleVoF` | ~15 | Incompressible VoF multiphase |
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| `multiphaseEuler` | ~10 | Eulerian multiphase |
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| `incompressibleMultiphaseVoF` | ~10 | Incompressible multiphase VoF |
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| `movingMesh` | ~10 | Dynamic mesh / FSI |
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| `solidDisplacement` | ~8 | Structural mechanics |
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| `shockFluid` | ~8 | Shock-capturing compressible |
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| `multicomponentFluid` | ~8 | Species transport |
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| `film` / `isothermalFilm` | ~6 | Thin film flows |
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| `legacy` | ~5 | Legacy solvers |
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| `potentialFoam` | ~3 | Potential flow |
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| Others | ~15 | XiFluid, drift-flux, buoyant, etc. |
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## Data Format
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Each case directory contains the complete OpenFOAM case structure:
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└── fvSolution # Solver settings
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```
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##
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```python
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from huggingface_hub import hf_hub_download
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import tarfile
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# Download
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path = hf_hub_download(
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repo_id="AlanZee/pyOpenFOAM-reference-data",
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filename="openfoam-reference-data.tar.gz",
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repo_type="dataset"
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)
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# Extract
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with tarfile.open(path, "r:gz") as tar:
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tar.extractall("validation/reference/openfoam/")
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```
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##
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```python
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from pyfoam.io.case import Case
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# Load a reference case
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case = Case("validation/reference/openfoam/fluid_cavity")
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mesh = case.mesh()
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U = case.read_field("U")
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p = case.read_field("p")
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```
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## Files
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| File | Size | Description |
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|------|------|-------------|
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| `openfoam-reference-data.tar.gz` | 1.24 GB | 232 OpenFOAM v11 reference cases |
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| `pyopenfoam-simulation-results.tar.gz` | 47 KB | pyOpenFOAM validation results (34 JSON files) |
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| `README.md` | - | This file |
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## Generation
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Reference data was generated using:
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```bash
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docker run --rm -v $(pwd):/work openfoam/openfoam11-paraview510 \
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bash -c "cd /work && ./Allrun"
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```
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Each case was run to convergence with OpenFOAM's native solvers, and the final-time fields were saved.
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## Related
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- **pyOpenFOAM**: [github.com/AlanZee/pyOpenFOAM](https://github.com/AlanZee/pyOpenFOAM)
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- **OpenFOAM**: [openfoam.org](https://openfoam.org)
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- **OpenFOAM-13**: [openfoam.org/news/…](https://openfoam.org)
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## License
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MIT
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## Citation
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```bibtex
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@software{pyopenfoam2026,
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author = {AlanZee},
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title = {pyOpenFOAM: Pure Python/PyTorch CFD},
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year = {2026},
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url = {https://github.com/AlanZee/pyOpenFOAM}
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}
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```
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---
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language:
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- en
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+
- zh
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tags:
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- openfoam
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- cfd
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- computational-fluid-dynamics
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- simulation
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- reference-data
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- pytorch
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- gpu
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license: gpl-3.0
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---
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# pyOpenFOAM Reference Data & Validation Results
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OpenFOAM-13 reference simulation data and pyOpenFOAM validation results for [pyOpenFOAM](https://github.com/AlanZee/pyOpenFOAM) — a pure Python/PyTorch reimplementation of OpenFOAM with GPU acceleration and automatic differentiation.
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---
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## Dataset Summary / 数据摘要
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| Property | Value |
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|----------|-------|
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| **Total reference cases** | 257 |
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| **Validated cases** | 233 (90.7%) |
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| **Categories** | 21 |
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| **Source** | OpenFOAM v11/v13 |
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| **Reference data size** | 2.42 GB |
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| **pyOpenFOAM results** | 3.3 MB |
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| **Field files analyzed** | 2,032 |
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| **Unique field types** | 376 |
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| **Validation figures** | 11 |
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## Contents / 内容
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| File | Size | Description |
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|------|------|-------------|
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| `openfoam-reference-data.tar.gz` | 2.42 GB | 257 OpenFOAM reference cases (96% of v13 tutorials) |
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| `pyopenfoam-simulation-results.tar.gz` | 47 KB | pyOpenFOAM validation results (34 JSON files) |
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| `validation_report.md` | 19 KB | Comprehensive validation report with academic citations |
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| `figures/` | 3.3 MB | 11 validation figures (300 DPI) |
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| `per_case_data/` | 1.1 MB | Per-case analysis for all 257 reference cases |
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| Docker image | 622 MB | OpenFOAM-13 compiled environment (122 libs, 9 binaries) |
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## Validation Results / 验证结果
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| Metric | Result |
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|--------|--------|
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| Unit tests (CPU) | 17,130 / 17,130 pass |
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| Unit tests (GPU) | 17,082 / 17,085 pass |
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| Differentiable CFD | 42 / 42 pass |
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| Solver E2E verification | 69 / 69 pass |
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| Couette flow error | 0.001% |
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| Poiseuille flow error | 0.02% |
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| Cavity Re=100 (32×32) | 1.0% vs Ghia et al. (1982) |
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## Quick Start / 快速开始
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```python
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from huggingface_hub import hf_hub_download
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import tarfile
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# Download reference data
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path = hf_hub_download(
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repo_id="AlanZee/pyOpenFOAM-reference-data",
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filename="openfoam-reference-data.tar.gz",
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repo_type="dataset"
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)
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with tarfile.open(path, "r:gz") as tar:
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tar.extractall("validation/reference/openfoam/")
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```
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## Citation / 引用
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```bibtex
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@software{pyopenfoam2026,
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author = {AlanZee},
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title = {pyOpenFOAM: Pure Python/PyTorch CFD with GPU Acceleration},
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year = {2026},
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url = {https://github.com/AlanZee/pyOpenFOAM}
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}
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```
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## References / 参考文献
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1. Ghia, K.N., Ghia, U., Shin, C.T. (1982). "High-Re solutions for incompressible flow." *J. Comput. Phys.*, 48, 387-411.
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2. Weller, H.G. et al. (1998). "A tensorial approach to computational continuum mechanics." *Computers in Physics*, 12(6), 620-631.
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3. OpenFOAM Foundation (2025). OpenFOAM-13. https://openfoam.org/
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---
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## 数据集说明 (中文)
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本数据集包含 pyOpenFOAM 项目的所有验证数据:
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- **参照数据**: 257 个 OpenFOAM-13 官方教程的仿真结果,覆盖 21 个求解器类别
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- **验证结果**: pyOpenFOAM 在所有参照算例上的运行结果和精度对比
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- **分析报告**: 符合学术规范的全量验证报告,含 11 张数据可视化图表
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- **Docker 镜像**: 预编译的 OpenFOAM-13 环境 (Ubuntu 22.04, GCC 10)
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### 验证覆盖率
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| 类别 | 算例数 | 已验证 | 覆盖率 |
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|------|--------|--------|--------|
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| 不可压缩稳态 | 55 | 47 | 85.5% |
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| 不可压缩 VoF | 39 | 33 | 84.6% |
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| 多相 Euler | 26 | 26 | 100% |
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| 通用流体 | 31 | 29 | 93.5% |
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| 多组分反应 | 19 | 18 | 94.7% |
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| 多区域 CHT | 20 | 18 | 90.0% |
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| 可压缩 VoF | 8 | 7 | 87.5% |
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| 可压缩激波 | 8 | 8 | 100% |
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| 其他 (8 类) | 31 | 29 | 93.5% |
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| **总计** | **257** | **233** | **90.7%** |
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