摘要
文章以沿海某地实际工程220 kV典型输电塔为研究对象,在分析抗风性能时,利用ANSYS建立输电塔三维有限元模型,分析该模型的动力特性,根据快速傅里叶变换(fast Fourier transform,FFT)技术和Deodatis的谐波合成法(weighted amplitude wave superposition,WAWS),对输电塔的随机脉动风场进行模拟并检验,然后基于Gauss模型计算作用于模型上的抖振力,将抖振力输入Gauss模型中,求得输电塔在不同风攻角作用下的结构抖振响应。分析结果表明,输电塔结构对不同风攻角、不同高度范围内的抖振响应敏感程度是不同的,主迎风面方向和离塔顶较近段的位置敏感性较强,总位移均方根最大值发生在风攻角为60°。研究结果可为同类输电塔的设计与抗风分析提供参考。
The typical transmission tower of 220 kV in a practical project in a coastal area is taken as the research object.When analyzing wind resistance performance,three-dimensional finite element model of transmission tower is established by using ANSYS to analyze the dynamic characteristics of the model.According to fast Fourier transform(FFT)technique and the weighted amplitude wave superposition(WAWS)of Deodatis,the stochastic fluctuating wind field of transmission tower is simulated and tested,the buffeting force is calculated based on the Gauss model,and is input into the model,the structural buffeting response of transmission tower under different wind attack angles is obtained.The results show that the sensitivity of the buffeting response is different at different wind attack angles and different heights.The orientation of the main face and the position near the top of the tower are more sensitive.The maximum root mean square value of total displacement occurs when the wind attack angle is 60°.It provides some reference values for the design and wind-resistant analysis of the similar transmission tower.
作者
宋智丰
邹孔庆
张延
SONG Zhifeng;ZOU Kongqing;ZHANG Yan(School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, China;Steel Structure Construction Co., Ltd., China Tiesiju Civil Engineering Group, Hefei 230022, China;Anhui Technical College of Water Resources and Hydroelectric Power, Hefei 231603, China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2020年第3期395-399,共5页
Journal of Hefei University of Technology：Natural Science
基金
安徽省高等学校自然科学研究重点资助项目(KJ2016A294)。
关键词
输电塔
谐波合成法(WAWS)
脉动风速
抖振响应
transmission tower
weighted amplitude wave superposition(WAWS)
fluctuating wind velocity
buffeting response
