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CFD simulation and validation of wind-driven rain on a building facade with an Eulerian multiphase model

机译：欧拉多相模型对建筑物立面风雨的CFD模拟和验证

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摘要

Wind-driven rain (WDR) is one of the most important moisture sources with potential negative effects on hygrothermal performance and durability of buildings. The impact of WDR on building facades can be understood in a better way by predicting the surface wetting distribution accurately. Computational Fluid Dynamics (CFD) simulation with the Lagrangian particle tracking (LPT) method has been widely used and validated by several researchers for different isolated building configurations. In this paper, Eulerian Multiphase modeling (EM) for WDR assessment is applied and validated for a monumental tower building (St. Hubertus building in The Netherlands). The LPT and EM models show comparable results and EM is validated by comparison of the calculated catch ratio values with available experimental data on windward facade. The deviations between the experimental and the model results at low rain intensity and wind speed are attributed to the absence of turbulent dispersion in both LPT and EM models. EM has the advantages, first, of less computational complexity and faster pre-processing and post-processing in terms of raindrop trajectories and WDR catch ratios, and second, of allowing the calculation of catch ratios on all surfaces of a complex geometry over the domain at once. The user time spent for the simulation decreases by at least a factor of 10 using EM instead of LPT for a single building. Additionally, the EM is expected to provide a sound basis for future WDR studies incorporating more accurate calculation of the wind flow field, e.g. by LES and the inclusion of turbulent dispersion.
机译：风雨（WDR）是最重要的水分来源之一，会对建筑物的湿热性能和耐久性产生负面影响。通过准确预测表面润湿分布，可以更好地理解WDR对建筑物外墙的影响。使用拉格朗日粒子跟踪（LPT）方法的计算流体动力学（CFD）模拟已被广泛使用，并已被多家研究人员针对不同的隔离建筑配置进行了验证。在本文中，用于WDR评估的欧拉多相建模（EM）被应用于并验证了一座巨大的塔式建筑（荷兰的圣休伯图斯建筑）。 LPT和EM模型显示出可比的结果，并且通过将计算出的捕捞率值与迎风立面上的可用实验数据进行比较来验证EM。在低降雨强度和低风速下，实验结果与模型结果之间的偏差归因于LPT和EM模型中都没有湍流弥散。 EM的优点是，首先，在雨滴轨迹和WDR捕获率方面，计算复杂度较低，并且预处理和后处理速度更快，其次，它允许在域上计算复杂几何图形的所有表面上的捕获率，立刻。对于单个建筑物，使用EM而不是LPT进行仿真所花费的用户时间至少减少了10倍。另外，预计EM将为未来的WDR研究提供可靠的基础，该研究结合了更精确的风流场计算，例如由LES和湍流弥散包含在内。

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  • 来源
    《Building and Environment》 |2013年第3期|69-81|共13页
  • 作者

    A. Kubilay; D. Derome; B. Blocken; J. Carmeliet;

  • 作者单位

    Chair of Building Physics, Swiss Federal Institute of Technology ETHZ, Zurich, Switzerland,EMPA, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for Building Technologies, Dubendorf, Switzerland,Institute of Technology in Architecture, ETH Zurich, Wolfgang-Pauli-Strasse 15, CH-8093 Zurich, Switzerland;

    Chair of Building Physics, Swiss Federal Institute of Technology ETHZ, Zurich, Switzerland,EMPA, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for Building Technologies, Dubendorf, Switzerland;

    Building Physics and Services, Eindhoven University of Technology, Eindhoven, The Netherlands;

    Chair of Building Physics, Swiss Federal Institute of Technology ETHZ, Zurich, Switzerland,EMPA, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for Building Technologies, Dubendorf, Switzerland;

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  • 正文语种 eng
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  • 关键词

    driving rain; wind-driven rain; computational fluid dynamics (CFD); eulerian multiphase model; numerical simulation;

    机译：开车下雨风雨计算流体动力学（CFD）;欧拉多相模型数值模拟;

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