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前体流流入数据集用于模拟半理想化的欧洲通用城市的大
Usman Shaukat1, Knut Erik Teigen Giljarhus1
1Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Stavanger, Norway.
Data in brief
|May 10, 2024
概括
这项研究为大气边界层 (ABL) 风洞提供了高分辨率的流边界数据. 这些数据可以作为大型旋模拟 (LES) 的有价值的流入条件,有助于城市风力动态研究.
科学领域:
- 环境流体动力学环境流体动力学
- 大气边界层研究大气边界层研究
- 计算流体动力学 (CFD) 是一种计算流体动力学.
背景情况:
- 精确模拟大气边界层 (ABL) 风流对于城市环境研究至关重要.
- 现有的数据集可能缺乏先进模拟所需的空间和时间分辨率.
- 米歇尔斯塔特的测试案例是验证风流模型的基准.
研究的目的:
- 为大气边界层 (ABL) 风洞模拟提供高质量,高分辨率的流入流边界数据.
- 为了实现密歇尔斯塔特测试案例的精确大模拟 (LES).
- 支持对城市环境中的风力动力学研究.
主要方法:
- 使用OpenFOAM进行了WOTAN风洞的高保真大模拟 (LES).
- 在特定平面上生成流入流边界数据,具有高空间和时间分辨率.
- 在粗度元素的末端以定义的频率收集数据.
主要成果:
- 为粗的ABL风洞获得了高分辨率的流入流边界数据.
- 这些数据适合作为大模拟 (LES) 中的入流条件.
- 该数据集有助于成本效益高的模拟Michelstadt测试案例.
结论:
- 提供的数据是计算流体动力学 (CFD) 研究人员的宝贵资源.
- 允许高质量的 LES 用于在城市环境中验证风流模型.
- 有助于弥合了解城市风力动态的研究差距.
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