联合EEMD和小波分析的超高建筑动态特性提取  

Extraction of dynamic characteristics of super high-rise buildings by combining EEMD and wavelet analysis

作　　者：王亚荣 黄声享[1,2] 匡翠林 王新鹏[1] WANG Yarong;HUANG Shengxiang;KUANG Cuilin;WANG Xinpeng(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;Collaborative Innovation Center of Geospatial Technology,Wuhan 430079,China;School of Geosciences and Info-physics,Central South University,Changsha 410083,China)

机构地区：[1]武汉大学测绘学院,武汉430079 [2]地球空间信息技术协同创新中心,武汉430079 [3]中南大学地球科学与信息物理学院,长沙410083

出　　处：《测绘科学》2020年第2期1-7,28,共8页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41274020).

摘　　要：为了更好地提取超高建筑的变形信息及动态特性,该文研究了一种联合总体平均经验模态分解(EEMD)和小波分析的超高建筑动态特性提取方法。EEMD完全由数据驱动,具有自适应分解的优点。小波分析具有多尺度分解的特性。该文提出的方法可以结合EEMD和小波分析方法的优势。模拟实验分析表明,在振动信号信噪比很低的情况下,联合EEMD和小波分析的数据处理方法具有更好地提取振动信号的能力,其结果优于单一的EEMD方法和小波分析方法。将该方法应用于某大厦GNSS动态监测数据,提取超高层建筑振动信号和振动主模态信息,结果表明,可清晰地分析出该高层建筑谐振信号的动态时频特性。In order to extract the deformation information and dynamic characteristics of super high-rise buildings better,this paper studied a method for extracting dynamic characteristics of super high-rise buildings by combining ensemble empirical mode decomposition(EEMD)and wavelet analysis.EEMD is a data-driven method which has the advantage of adaptive decomposition.Wavelet analysis has the characteristics of multi-scale decomposition.The method proposed in this paper can combine the advantages of EEMD and wavelet analysis.Simulation experiment showed that the data processing method by combining EEMD and wavelet analysis had better ability of extracting vibration signal under the condition of low signal-noise ratio,and the result was better than single EEMD method and wavelet analysis method.This method was applied to the data processing of global navigation satellite system(GNSS)dynamic monitoring data to extract the vibration signal and the main modes information of one high-rise building.The result showed that the dynamic time-frequency characteristics of the resonance signal of the high-rise building were analyzed clearly.

关 键 词：GNSS 结构振动 总体平均经验模态分解 小波分析 时频分析 

分 类 号：P228.4[天文地球—大地测量学与测量工程] P258[天文地球—测绘科学与技术]