フィルタ理論に基づくフレーム構造物の損傷同定解析

Abstract

The structural damage identification analysis of structure models were performed by filtering algorithms as a frame work of inverse problem. In this study, three kinds of filtering algorithm based on the Wiener filter, the projection filter and the parametric projection filter were employed to detect the structural damage of a five-story frame model defined by the reduction of lateral stiffness. Natural frequencies corresponding to each eigen-mode measured by the experimental modal analysis are effectively used as the observation data characterized by the change of structural stiffness. The notable characteristics of each filtering algorithm in applying the structural damage identification analysis are made clear through several numerical calculations.