GPS测量系统和全站仪对在建超高层建筑动力特性的识别

超高层建筑在施工过程中,随着施工高度的逐渐增加,在风荷载、温差和塔吊动荷载的作用下主体结构在施工期的水平位移和结构动力特性会不断发生变化。为了识别超高层建筑在施工过程中,其结构水平位移和结构的动力特性变化情况,应用GPS定位测量系统结合全自动测量机器人——全站仪,实测得到结构在施工期间在两主轴方向的位移时程。并且将GPS数据经过经验模态分解(empirical mode decomposition,EMD)和希尔伯特-黄变换(Hilbert-Huang transform,HHT)后,再把瞬时频率与施工期间塔楼自振频率接近的部分固有模态函数分量进行叠加,得到结构在施工期间的动位移时程,然后再将经验模态分解后的GPS和全站仪测试数据进行功率谱密度(power spectrum density,PSD)分析,从而得到结构的自振频率。从而识别超高层建筑在施工过程中的结构动力特性,分析结果对超高层建筑施工安全评估具有较大帮助。

Analysis and Experimental Identification of Torsional Dynamic Characteristics of Hydrodynamic Torque Converter

The subsection linear torsional model of hydrodynamic torque converter was established and further simplified. According to the identification theory, the frequency characteristic was achieved with the Matlab/ Ident toolbox. Then parametric model was established by adopting the subsection linearization method, and the damp value was estimated. The curve and function of damp changing with speed ratio was also established by fitting. In order to validate the identification results, the experimental output was compared with the output of the model in which torque was chosen as input signal and speed as output signal in Matlab/Ident toolbox. It was shown that model output is in good agreement with experimental output.