Damage Identification Method of Bridge Based on BP Neural Network
In bridge damage identification studies,accurate localization of bridge damage units is often not possible.In order to further use a simpler method for accurate damage localization,a method was proposed to qualitatively and quantitatively identify a single point of bridge damage in the paper,by inputting bridge influence line data,bridge damage unit number and residual stiffness coefficient of the damage unit as the operating parameters of the BP neural network with the help of the self-learning function of the BP neural network.The feasibility of the proposed damage identification method is verified by relying on engineering examples.
万方数据
维普
