Self-contained eigenvector algorithm applied to the identification of aerodynamic derivatives of bridge model  

作　　者：ZHANG XiaoXu CHEN LiFen SONG HanWen 

机构地区：[1]Department of Mechanics and Engineering Science, Fudan University, Shanghai 200433, China [2]School of Aerospace Engineering and Applied Mechanics, Tong[i University, Shanghai 200092, China

出　　处：《Science China(Technological Sciences)》2011年第5期1134-1140,共7页中国科学（技术科学英文版）

基　　金：supported by the State Key Program of National Natural Science Foundation of China (Grant No. 11032009);the National Natural Science Foundation of China (Grant No. 10772048)

摘　　要：On one hand, when the bridge stays in a windy environment, the aerodynamic power would reduce it to act as a non-classic system. Consequently, the transposition of the system’s right eigenmatrix will not equal its left eigenmatrix any longer. On the other hand, eigenmatrix plays an important role in model identification, which is the basis of the identification of aerodynamic derivatives. In this study, we follow Scanlan’s simple bridge model and utilize the information provided by the left and right eigenmatrixes to structure a self-contained eigenvector algorithm in the frequency domain. For the purpose of fitting more accurate transfer function, the study adopts the combined sine-wave stimulation method in the numerical simulation. And from the simulation results, we can conclude that the derivatives identified by the self-contained eigenvector algorithm are more dependable.

关 键 词：bridge model – aerodynamic derivatives – eigenvector – modal analysis – parameter identification 

分 类 号：O151.21[理学—数学] TP391.4[理学—基础数学]