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高度200m特大型冷却塔二维风振系数取值方法及分布规律研究

发布时间:2018-10-13 18:48
【摘要】:为系统研究超过规范高度限值(190 m)的特大型冷却塔风振特性及风振系数,以国内某在建的高度200 m的特大型冷却塔为研究对象,基于大涡模拟技术对该冷却塔进行了平均和脉动风荷载的数值模拟,并将模拟结果与规范曲线以及国内外现有实测结果进行对比,验证数值模拟方法的有效性。在此基础上,采用有限元方法对该特大型冷却塔的动力特性、风振响应与风振系数进行了系统分析,探讨了以塔筒迎风面子午向轴力、迎风面的von Mises应力、节点径向位移、子午向轴力和环向弯矩为目标响应的风振系数取值方法,归纳出高度200 m特大型冷却塔二维风振系数空间分布特征显著且在塔筒底部及背风区普遍较大的分布规律,给出了此类特大型冷却塔风振系数的取值建议和二维拟合公式。主要研究结论可为高度200 m特大型冷却塔的抗风设计提供科学依据。
[Abstract]:In order to systematically study the wind-induced vibration characteristics and wind-induced vibration coefficients of super large cooling towers exceeding the specified height limit (190m), a 200 m high super large cooling tower under construction in China is taken as the research object. The numerical simulation of the average and pulsating wind loads of the cooling tower is carried out based on the large eddy simulation technology. The effectiveness of the numerical simulation method is verified by comparing the simulation results with the standard curves and the measured results at home and abroad. On this basis, the dynamic characteristics, wind-induced vibration response and wind-induced vibration coefficient of the super large cooling tower are systematically analyzed by using finite element method. The meridional axial force of the upwind surface, the von Mises stress of the upwind plane, and the radial displacement of the node are discussed. Based on the method of selecting wind vibration coefficient in response to meridional axial force and toroidal bending moment, the spatial distribution characteristics of two-dimensional wind vibration coefficient of 200 m super large cooling tower are concluded, which are generally larger at the bottom of the tower tube and in the backwind region. The value of wind vibration coefficient of the super large cooling tower and the two-dimensional fitting formula are given. The main conclusions can provide scientific basis for wind resistance design of 200 m super large cooling tower.
【作者单位】: 南京航空航天大学土木工程系;
【基金】:江苏省优秀青年基金项目(BK20160083) 国家自然科学基金项目(51208254) 中国博士后科学基金项目(2013M530255,1202006B) 江苏高校青蓝工程项目
【分类号】:TU312.1

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