摘要
将小波分析应用到结构风工程领域,介绍了一种基于小波分析的高层建筑气动阻尼评估方法,该方法不仅适用于单自由度高层建筑气弹模型的气动阻尼比识别,而且适用于多自由度高层建筑气弹模型的气动阻尼比识别。运用改进的随机减量技术(IRDT)对一多自由度高层建筑气弹模型风洞试验数据进行分析,得到顺、横风向顶部加速度的随机减量特征信号(RDS),然后对该特征信号进行连续的复Morlet小波变换,最后计算得到该高层建筑顺、横风向侧向振动的一阶气动阻尼比,并且总结出其变化规律。
The wavelet analysis was applied to structural wind engineering field, and a method to identify the aerodynamic damping ratio of a tall building was introduced, which is applicable to SDOF aero-elastic models as well as MDOF aero-elastic models of tall buildings. The wind tunnel data of a MDOF aero-elastic model of a tall building were analyzed with the improved random decrement technique (IRDT), and the random decrement signatures (RDS) of the top acceleration in the directions of along wind and across wind were both acquired. Subsequently, the complex Morlet wavelet transform was performed on the RDS and the aerodynamic damping ratios of the first vibration mode of the tall building in the directions of along wind and across wind were both calculated. The rule for its variation was also concluded.
出处
《振动与冲击》
EI
CSCD
北大核心
2008年第8期93-96,共4页
Journal of Vibration and Shock
基金
国家自然科学基金资助项目(50678137)
同济大学土木工程防灾国家重点试验室访问学者基金资助课题