Genetic Algorithm-based tension identification of hanger by solving inverse eigenvalue problem

摘要

This paper proposed a new method for identification of tension force of hangers used in arch bridges. The hanger is modelled by finite element method (FEM). The relation between frequency and tension force is obtained from the eigenvalue equation of FEM model, and Genetic Algorithm method is utilized to solve the inverse eigenvalue problem. By matching the theoretical frequencies of analytical model with the measured frequency values, the proposed method is able to identify the tension force, the bending stiffness and the boundary conditions of hangers, simultaneously. The proposed method is performed in numerical simulations and a field measurement of an arch bridge. Both the numerical study and field test verified the feasibility and accuracy of the proposed method.