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复杂山体下双塔布置超大型冷却塔风致干扰效应研究
引用本文:柯世堂,余文林,王浩,朱鹏,余玮,杜凌云.复杂山体下双塔布置超大型冷却塔风致干扰效应研究[J].实验流体力学,2018,32(4):61-71.
作者姓名:柯世堂  余文林  王浩  朱鹏  余玮  杜凌云
作者单位:南京航空航天大学 土木工程系, 南京 210016
基金项目:国家自然科学基金51761165022国家自然科学基金518748351国家自然科学基金U1733129江苏省优秀青年基金BK20160083中国博士后科学基金2013M530255中国博士后科学基金1202006B江苏省六大人才高峰层次人才计划JZ-026
摘    要:以中国西北地区已建成的210m世界最高冷却塔为例,采用风洞试验和CFD数值模拟两种方法,获得了考虑复杂山体(海拔接近冷却塔喉部高度,且距离塔体很近)双塔布置冷却塔表面流场信息和压力分布模式。在此基础上,对比分析考虑复杂山体和建筑干扰时冷却塔表面最大负压、基于极值负风压的干扰系数和平均风压分布特性,并针对最不利工况进行复杂山体和塔群之间的风致干扰机理研究。研究表明:采用风洞试验和数值模拟两种方法得到的冷却塔基于极值负风压的干扰系数分布规律一致,两者最大值相差8%;复杂山体对冷却塔群来流湍流和表面风压分布模式的影响显著,同时受到冷却塔和干扰建筑物之间"夹道效应"的影响,最不利工况下冷却塔基于极值负风压的干扰系数可达1.586,远大于没有复杂山体时的工程常见干扰系数。

关 键 词:复杂山体    双塔布置    超大型冷却塔    数值模拟    风洞试验    干扰效应
收稿时间:2018-03-30

Research on interference effect of super large cooling towers with two tower combinations under complex mountains
Institution:Department of Civil Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:Taking a domestic super large cooling tower which is the world's tallest (210m) as an example, the flow field information and pressure distribution patterns of two cooling tower combinations were obtained considering complex mountains (close to the cooling tower, the height of which is close to the cooling tower throat elevation) based on wind tunnel experiments and CFD numerical simulation methods. On this basis, maximum negative pressures, interference factors based on the extremum of the negative wind pressure and mean wind pressures were analyzed, and then the wind-induced interference mechanism between the mountain and the towers were studied under the most unfavorable conditions. Studies show that the distribution rules of interference factors of cooling towers based on the extremum of the negative wind pressure obtained by wind tunnel experiments and CFD numerical simulation methods, respectively, are the same, and the maximum interference factors obtained by the two methods are 8% different. Complex mountains have significant influence on the flow turbulence and wind pressure distribution patterns of cooling towers. Influenced by the "channel effect" between cooling towers and buildings, the interference factor based on the extremum of the negative wind pressure under the worst condition is up to 1.586, significantly greater than the common interference factors without complex mountains.
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