可压缩的流平面通道DNS数据集
1Sorbonne Université, Faculty of Science and Engineering, 4 place Jussieu, 75005 Paris, France.
Data in brief
|August 23, 2024
概括
本研究介绍了使用直接数值模拟生成的可压缩流平面通道流量的详细统计数据. 可访问的数据集有助于流体动力学和流模型研究.
科学领域:
- 流体动力学 流体动力学
- 流研究 流研究
- 计算物理 计算物理
背景情况:
- 压缩流平面通道 (TPC) 流量在流体动力学中是基本的.
- 高准确度的数据对于验证流模型至关重要.
- 现有的数据集可能缺乏全面的统计信息.
研究的目的:
- 提供可压缩流平面通道流量的综合数据库.
- 促进流模型和流体动力学的研究.
- 提供易于访问,高质量的模拟数据.
主要方法:
- 直接数值模拟 (DNS) 使用一个高阶大规模并行解决器.
- 在指定的雷诺兹和马赫数范围内模拟25个流量条件.
- 异热壁条件和过渡性消除的后处理.
主要成果:
- 一个包含TPC流量的详细统计数据库 (时刻,PDF).
- 数据组织成全球文件,个人资料/预算和联合PDF文件.
- 纯文本,空间分隔的文件,以方便使用和可访问性.
结论:
- 该数据库为可压缩流的研究人员提供了宝贵的资源.
- 这些数据支持先进的流模型的开发和验证.
- 可访问的统计数据增强了对流现象的研究.
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