확장 칼만 필터를 이용한 2차원 트러스 구조물의 손상 추정에 적용된 5가지 손상지표의 유효성 및 수렴성에 관한 연구

A Study on the Effectiveness and Convergency of Five Damage Measures for Damage Assessment of 2-Dimensional Truss Sturctures using Extended Kalman Filter

In this paper, a study of the effenctiveness and convergency of five damage measures for structural damage detection of 2-dimensional truss structure using the extended Kalman filtering algorithm is presented. These damage measures are associated with the change in mode shape and displacement due to structural damage. Damage measures contain the change in natural frequency, mode shape, curvature of mode shape, displacement of static force and curvature of displacement of static force. The effectiveness and convergency of these damage measures by using extended Kalman filtering algorithm are demonstrated with the numerical examples.