An Experiment of Real-Time Data Assimilation of Cantilevered Beam

Abstract

A real time parameter estimation method of cantilevered beam is presented. In this method, a point load acting on deforming cantilevered beam is estimated in real time by using the Kalman filter, which is one of the procedures of data assimilation. Data assimilation is widely known as the method which estimates uncertain parameters utilizing both numerical model and experimental data in sequential processing. And the parameters estimated by above-mentioned method can be strong likelihood for actual phenomenon included in analysis object. In this study, a simple experiment is conducted to verify the effectiveness of real time estimation of a model parameter in deforming cantilevered beam by using Kalman filter and strain measurement. Experimental results show that the estimation is operated satisfactorily with motion of cantilevered beam. From the point of view of high accuracy estimation, it is considered that nonlinear numerical model and working environment which is able to operate Kalman filter at high frequency can be necessary.