Parameter identification of beam bridges based on stiffness separation method

Abstract

The complex structures and extensive computational workloads associated with beam bridges pose challenges in identifying their parameters. This study proposed a stiffness separation method for the parameter identification of beam bridges. Firstly, this method involves decomposing the global stiffness matrix into substructure matrices, thereby reducing the dimensionality of the stiffness matrix and facilitating parameter identification. Secondly, the proposed method can assign the unknown parameters to each substructure which simplifies the parameter identification problem. Thirdly, the obvious local responses can be obtained by applying loads to individual substructures. The accuracy and efficiency of the proposed method are validated through a simply supported and continuous beam bridge. Overall, this method simplifies objective functions and improves the efficiency of parameter identification.