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首页> 外文期刊>Structural Engineering and Mechanics >A study on the working mechanism of internal pressure of super-large cooling towers based on two-way coupling between wind and rain
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A study on the working mechanism of internal pressure of super-large cooling towers based on two-way coupling between wind and rain

机译:基于风雨与风雨双向耦合的超大型冷却塔内部压力的工作机理研究

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摘要

In the current code design, the use of a uniform internal pressure coefficient of cooling towers as internal suction cannot reflect the 3D characteristics of flow field inside the tower body with different ventilation rate of shutters. Moreover, extreme weather such as heavy rain also has a direct impact on aerodynamic force on the internal surface and changes the turbulence effect of pulsating wind. In this study, the world's tallest cooling tower under construction, which stands 210m, is taken as the research object. The algorithm for two-way coupling between wind and rain is adopted. Simulation of wind field and raindrops is performed iteratively using continuous phase and discrete phase models, respectively, under the general principles of computational fluid dynamics (CFD). Firstly, the rule of influence of 9 combinations of wind speed and rainfall intensity on the volume of wind-driven rain, additional action force of raindrops and equivalent internal pressure coefficient of the tower body is analyzed. The combination of wind velocity and rainfall intensity that is most unfavorable to the cooling tower in terms of distribution of internal pressure coefficient is identified. On this basis, the wind/rain loads, distribution of aerodynamic force and working mechanism of internal pressures of the cooling tower under the most unfavorable working condition are compared between the four ventilation rates of shutters (0%, 15%, 30% and 100%). The results show that the amount of raindrops captured by the internal surface of the tower decreases as the wind velocity increases, and increases along with the rainfall intensity and ventilation rate of the shutters. The maximum value of rain-induced pressure coefficient is 0.013. The research findings lay the basis for determining the precise values of internal surface loads of cooling tower under extreme weather conditions.
机译:在当前的代码设计中,使用均匀的内部压力系数冷却塔作为内部抽吸不能反映具有不同通风速率的塔体内的流场的3D特征。此外,诸如大雨的极端天气也会对内表面上的空气动力产生直接影响,并改变脉动风的湍流效应。在这项研究中,世界上建造的最高的冷却塔,即210米,被视为研究对象。采用了风雨与雨水之间双向耦合的算法。在计算流体动力学(CFD)的一般原则下,分别使用连续相位和离散相位模型来迭代地进行风场和雨滴的模拟。首先,分析了风力雨量的9个风速和降雨强度的影响的规则,分析了风力驱动雨量,雨滴的额外动力和塔体的等效内部压力系数的影响。鉴定了在内压系数分布方面最不利于冷却塔的风速和降雨强度的组合。在此基础上,在百叶窗的四个通风率(0%,15%,30%和100,在最不利的工作条件下,风/雨载荷,冷却塔内部压力的内部压力的分布和内部压力的工作机理。(0%,15%,30%和100 %)。结果表明,随着风速增加,塔内表面捕获的雨滴量减少,随着百叶窗的降雨强度和通风速率而增加。雨诱导的压力系数的最大值为0.013。研究结果奠定了确定在极端天气条件下冷却塔内表面负荷精确值的基础。

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