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首页> 外文期刊>The Structural Design of Tall and Special Buildings >Non-Gaussian characteristics and extreme distribution of fluctuating wind pressures on large cylindrical-conical steel cooling towers
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Non-Gaussian characteristics and extreme distribution of fluctuating wind pressures on large cylindrical-conical steel cooling towers

机译：大型圆柱锥形钢冷却塔的非高斯特性和波动风压的极端分布

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摘要

Large cylindrical-conical steel cooling tower (SCT) represents a new configuration of cooling tower, and its wind load distribution pattern and forming mechanism are very different from those of the traditional hyperbolic cooling towers. Large eddy simulation was used for the numerical simulation on a superlarge cylindrical-conical SCT that exceeds the specification limit, which is also the highest (189 m) SCT under construction in Asia. The surface flow field and time history of 3-D aerodynamic force were obtained for the cylindrical and conical parts, respectively. Comparison with the measurements of other large cooling towers and the results of wind tunnel test confirmed the validity of the numerical simulation. Then, based on the probability density distribution and spatial correlation of representative measuring points, regions of non-Gaussian distribution were identified. The forming mechanism of non-Gaussian wind pressure distribution was revealed from the perspective of the correlation of non-Gaussian distribution versus flow separation and eddy motion. The criteria for classifying the region of non-Gaussian distribution for the cylindrical and conical parts were analyzed. respectively. Research shows that the wind pressures in the windward regions of conical and cylindrical parts obey Gaussian distribution; however, the wind pressures from the region of extreme negative pressure to the region of flow separation are largely non-Gaussian and the wind pressures of the conical part are generally non-Gaussian in the leeward region. Finally. the three algorithms for calculating the extreme values of wind pressure were used, namely, peak factor method, improved peak factor method, and Sadek-Simiu method. The distribution patterns of peak factors and extreme values of wind pressure in SCT towers were analyzed comparatively. The 2-D formulae for fitting the extreme values of wind values for the cylindrical and conical parts were derived by nonlinear least square method. Moreover, strategy for value determination was also presented. The present research aimed to strengthen the understanding of the fluctuating wind pressure distribution and its forming mechanism for large cylindrical-conical SCT towers.
机译：大型圆柱锥形钢冷却塔（SCT）代表了冷却塔的一种新配置，其风荷载分布模式和形成机理与传统的双曲线冷却塔大不相同。大涡模拟被用于超规范的超大型圆柱圆锥形SCT的数值模拟，这也是亚洲正在建造的最高（189 m）SCT。分别获得了圆柱和圆锥形零件的表面流场和3-D空气动力的时程。与其他大型冷却塔的测量结果比较以及风洞试验的结果证实了数值模拟的有效性。然后，根据代表性测量点的概率密度分布和空间相关性，确定非高斯分布的区域。从非高斯分布与流分离和涡流的相关性角度揭示了非高斯风压分布的形成机理。分析了对圆柱和圆锥形零件的非高斯分布区域进行分类的标准。分别。研究表明，圆锥形和圆柱形零件的迎风区域的风压服从高斯分布。然而，从极端负压的区域到流动分离的区域的风压在很大程度上是非高斯的，而在下风区域中，圆锥形部分的风压通常是非高斯的。最后。使用了三种计算风压极值的算法，即峰值因子法，改进的峰值因子法和Sadek-Simiu方法。比较分析了SCT塔的峰值因子分布和风压极值分布。通过非线性最小二乘法推导了拟合圆柱和圆锥形零件风速极值的二维公式。此外，还提出了价值确定策略。本研究旨在加强对大型圆柱形SCT塔的波动风压分布及其形成机理的了解。

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