Optimization of the suspension parameters of a rail vehicle based on a virtual prototype Kriging surrogate model

The design and integration of suspension parameters directly affects the riding quality of a rail vehicle. This study is intended to develop an approach to the optimization of suspension parameters of rail vehicles based on a virtual prototype Kriging model. To construct the virtual prototype Kriging model, a virtual prototype model of a rail vehicle and its suspension system was established based on a vertical model for its dynamics and using virtual prototype software. A virtual prototype Kriging model of a rail vehicle based on riding quality was also proposed, in which the training sample was obtained as different combinations of suspension parameters using the virtual prototype and dynamics simulations based on the design of experiments method. On this basis, an optimization model of the suspension parameters was established, in which the objective function was the Kriging model of the riding quality index. The optimized combination of suspension parameters was determined using the Multi-Island Genetic Algorithm. The dynamics simulation results before and after optimization for different rail profiles indicated that the riding quality was significantly improved, which demonstrated the universality and effectiveness of this approach.