边界层风洞测量数据集在一个不对称的自然通风的畜牧业建筑中的空气流量研究
Long Chen1, Lars Thormann1, Thomas Amon1,2
1Department of Sensor and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy, Potsdam, Germany.
Data in brief
|March 4, 2026
概括
这项研究为缩放的奶牛棚模型提供了详细的空气流和流数据. 这些测量对于验证用于畜牧建筑通风和排放研究的计算流体动力学 (CFD) 模型至关重要.
科学领域:
- 农业工程 农业工程
- 环境科学 环境科学
- 流体动力学 流体动力学
背景情况:
- 自然通风的畜牧建筑需要准确的空气流量和排放数据.
- 计算流体动力学 (CFD) 模型是模拟这些环境的重要工具.
- 模型验证对于可靠的CFD预测至关重要.
研究的目的:
- 为一个缩放的奶牛棚模型提供高分辨率的空气流和流测量.
- 为验证和完善计算流体动力学 (CFD) 模型提供数据集.
- 支持对畜牧场建筑物风力驱动通风和排放特征的调查.
主要方法:
- 在一个边界层风洞中使用了一个1:50尺寸的不对称的奶牛棚模型.
- 采用二维激光多普勒气流计 (LDA) 系统获得的空气速度测量.
- 收集了模型内外233个位置的边界层形状和空气流量数据.
主要成果:
- 在既定的边界层条件下获得了高分辨率的空气流和流数据.
- 数据集包括边界层配置文件用于流稳定性评估.
- 测量涵盖了缩放的奶牛棚模型内和周围的空气流量.
结论:
- 生成的数据集作为数值建模的关键参考.
- 从这些数据中获得的验证的CFD模型可以估计空气流和排放.
- 这些数据对于改善畜牧场建筑物的通风和排放特征是有价值的.
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