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基于改进的希尔伯特—黄变换(HHT)即结合随机减量技术(RDT)的HHT对7~9级风力作用下,超高层建筑——上海金茂大厦的加速度响应现场实测数据进行分析与处理,以识别出上海金茂大厦东西和南北方向的第12、阶自振频率及相应的阻尼比。在识别中,为了避免结构模态的混叠现象,本文引入了巴特沃斯带通滤波器来对加速度实测数据实行滤波处理。识别结果显示:上海金茂大厦东西方向和南北方向的第1阶自振频率近似相等,但是东西方向和南北方向的第2阶自振频率相差较大;结构东西和南北方向的阻尼比皆小于结构材料的阻尼比,而且随着模态阶数的增大识别出的阻尼比标准差呈现增大的趋势。这些研究结果对未来超高层建筑的设计具有借鉴意义。同时,识别结果也表明,HHT+RDT+巴特沃斯带通滤波器方法可以有效地识别出超高层建筑的模态参数。
Based on the improved Hilbert-Huang Transform (HHT) combined with HHT in RDT, the field response data of super high-rise buildings in Shanghai Jinmao Tower were analyzed under the action of wind force from 7 to 9 And processing to identify the Shanghai Jinmao Tower things and north-south direction of the twelfth order natural frequencies and the corresponding damping ratio. In recognition, in order to avoid the aliasing phenomenon of structure modalities, this paper introduces Butterworth band-pass filter to filter the acceleration measured data. The results show that the natural frequencies of the first order in east and west directions and the north-south direction of Shanghai Jinmao Tower are approximately equal, but the second-order natural frequencies of the east-west direction and the north-south direction are quite different. The damping ratios of the east, west and north- Damping ratio of structural materials, and the damping ratio of standard deviation shows an increasing trend with the increase of modal order. The results of these studies have reference significance for the design of future super high-rise buildings. At the same time, the recognition results also show that the HHT + RDT + Butterworth band-pass filter method can effectively identify the modal parameters of super high-rise buildings.