层状地基—贮仓结构相互作用系统的参数识别

On Parameters Idntification of Layered Foundation-Silo Interaction System

首次提出了层状地基—贮仓结构相互作用系统的参数识别方法。运用扩展的卡尔曼滤波技术 ,将相互作用系统中的参数作为增加的状态变量 ,建立了该系统的参数识别方法 ,并利用大型振动台条件下的该系统的模型试验数据 ,实施了该系统的参数识别。结果表明 。

We aim to evaluate the dynamic matrices of the layered foundation silo interaction system subjected to the action of earthquake wave. After we deduced the motion equation of the system, we established our parameter identification method by using nonlinear Kalman filtering algorithms and by regarding the unknown parameters in the system as augmented state variables. The feature of our method is that only the data of upper silo structure has to be measured in the field. We tested our method first in the laboratory. The parameter identification process of the system was implemented by means of the data of a model of the system obtained experimentally on a large vibration platform. Fig.4 shows the variation of the mean square value of error covariance between the estimation and measurement P 1/2 ll (t N｜t N) with number of iterations i. P 1/2 ll (t N｜t N) approaches zero quickly after about 20 iterations, thus showing preliminarily that our method can yield good parameter estimation of the system.