APPLICATION OF STRUCTURAL DYNAMICS SOLUTION METHODS BASED ON RECURRENT NEURAL NETWORK
Traditional methods for solving structural dynamic equations are usually based on differential equations,numerical methods,and simulation techniques,suffering from high computational complexity and slow convergence.In order to seek a new solution path,we propose a new method based on recurrent neural networks(RNN)for model-ing and resolving the dynamic response of structures.By applying RNN to a simple case of structural dynamics,we successfully realize the prediction and simulation of structural dynamic equations.The results show that the average relative errors of the model are all in the range of 10-4,and the model accurately captures the dynamic characteristics of the structure and demonstrates excellent performance.