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Numerical simulation of wind-induced mean and peak pressures around a low-rise structure

机译:低层结构周围风诱导平均值和峰值压力的数值模拟

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摘要

We perform Computational Fluid Dynamics (CFD) analyses of a low-rise building immersed in a turbulent boundary layer. The Silsoe 6 m cube is chosen as the main case study aiming at representing the key features of the typical wind conditions experienced by low-rise buildings. The turbulent inflow condition is generated by employing a precursor technique. A sensitivity study is conducted to investigate the effects of eight subgrid-scale (SGS) models on the flow around the cube. The incoming turbulence intensity and mesh sizing for each of the SGS models are also explored. The results in terms of time-averaged pressure fields for relatively well-resolved simulations are well compliant with available experimental data and insensitive to the selection of the SGS model. We demonstrate that, while the effect of the aforementioned factors has a limited impact on the firstorder statistics of the pressure coefficients, their influence becomes much more pronounced when analysing higher-order statistics (i.e. variance, skewness and kurtosis) and extreme values. The extent of their relative importance depends on the location of the point under investigation and the quantity of interest. The current study provides guidelines on the choice of factors which can strongly affect the results obtained employing CFD simulations when the local peak pressures are of interest, for example, as in the case of cladding design.
机译:我们执行浸入湍流边界层的低层建筑物的计算流体动力学(CFD)分析。选择硅霉素6米立方体作为主要案例研究,旨在代表低层建筑物所经历的典型风能的关键特征。通过采用前体技术产生湍流流入条件。进行敏感性研究以研究八个谱系级(SGS)模型对立方体周围流动的影响。还探讨了每个SGS模型的传入湍流强度和网状尺寸。在相对完善的解决模拟时间平均压力场方面的结果与实验数据以及兼容和不敏感的SGS模型的选择。我们证明,虽然上述因素对压力系数的第一阶统计的影响有限,但在分析高阶统计(即方差,偏斜和峰值)和极端值时,它们的影响变得更加明显。它们的相对重要性的程度取决于所研究的点的位置和数量利益。目前的研究提供了有关其可能会大幅影响得到采用CFD模拟时的局部峰值压力是关注的结果,例如,在包层设计的情况下,要素的选择准则。

著录项

  • 来源
    《Engineering Structures》 |2020年第jul1期|110583.1-110583.15|共15页
  • 作者单位

    Univ Sydney Sch Civil Engn Ctr Wind Waves & Water Darlington NSW Australia;

    Univ Bologna DICAM Viale Risorgimento 2 I-40136 Bologna Italy|Tamkang Univ WERC Yingzhuan Rd New Taipei Taiwan;

    NIST Gaithersburg MD 20899 USA;

    Univ Western Sydney Sch Comp Engn & Math Parramatta NSW Australia;

    Univ Sydney Sch Civil Engn Ctr Wind Waves & Water Darlington NSW Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Silsoe cube; LES; High-order statistics; Extreme values;

    机译:Silsoe立方体;LES;高阶统计;极值;

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