Research on numerical solution algorithm for real-time hybrid simulation of high-speed railway on suspension bridge

Real-time hybrid simulation combines experimental substructure and numerical substructure and is an effective method to study the dynamic response of coupled vibrations on high-speed railway. This paper constructs a semi-active suspension-train-suspension bridge coupling real-time hybrid framework and a real-time hybrid simulation method based on a neural network is proposed, which uses a long-short-term memory model instead of a complex train-bridge structure model, evaluates the prediction performance of the trained network models through time history, regression analysis, and normalization error distribution. Finally, the network model is applied to a real-time hybrid simulation, the accuracy and real-time ability of the method are verified, and the results show that the proposed method can effectively improve the accuracy and efficiency of solving the numerical substructure. In this paper, long-short-term memory (LSTM) is applied to the coupling vibration study of the train-bridge system, and an RTHS framework for semi-active vibration damping device-train-suspension bridge coupling is established to illustrate the test logic and feasibility, and a dynamic response solution method of numerical substructure based on LSTM is proposed. Then, the feasibility of the network models in RTHS was analyzed, and the predicted performance of the trained network models was evaluated by time course comparison, regression analysis, and normalized error distribution. Finally, the LSTM was applied to a train-bridge RTHS, verify its accuracy and real-time performance, and the results show that the proposed method can effectively improve the accuracy and efficiency of solving the numerical substructure. image