A Damage Diagnosis Method for Bridge Damage Based on Improved R-ARX Model

Abstract

In this study, we focused mainly on establishing a new sensitive method to identify location of damages in Service Bridge. The improved method of combination of Autoregressive models (AR) and autoregressive models with exogenous inputs (ARX) was applied to identify the damage in Service Bridge. Firstly, an improved AR-ARX model was established for damage identification of bridge on service. Secondly, the detailed steps of identifying location of damages are explained using proposed damage diagnosis method. Finally,the improved AR-ARX model was used to identify location of damage in a two-span steel beam. The results of calculated showed the damage diagnosis method based on improved AR-ARX model that considered the ambient excitation is much more powerful and accurate than AR-ARX method. So the proposed method can apply to bridge damage detection with few acceleration sensors. This study laid the foundation for the bridge identification.