LINEAR ALGORITHM TO IDENTIFY NON-LINEAR STRUCTURAL SYSTEMS

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  • 非線形構造システムの線形同定法
  • ヒセンケイ コウゾウ システム ノ センケイ ドウテイホウ

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Abstract

The purpose of this paper is developed efficient algorithm to identify strong non-linear characteristics of structural systems. To apply a linear optimization technique to system identification problems we proposed a method to linearize the observation equation which possesses intrinsic nonlinear characteristics. To identify non-stationary dynamic change of structural parameters we used an adaptive Kalman filter scheme in which the function of memory fading for the past observation data was added to the Kalman filter that often is used as a time marching identification algorithm. We also assigned robustness to the adaptive Kalman filter to eliminate the effect of abnormal signals contained in observed structural response. Using the developed identification scheme we can identify the structural hysteresis characteristics without any information on the constitutive relation of structural elements. For the case that the hysteresis is defined by Versatile model we can identify all shape parameters including power parameter.

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