Impacts of implementing stochastic excitation to assess anomalies on railway vehicle dynamic model.

This paper investigates the effects of incorporating stochastic features into the simulation of a dynamic suspension system.The study is motivated by a real-world anomaly phenomenon observed in railway vehicles, where changes in the stiffness of rubber springs during operation can lead to irregular motion.A series of tests were conducted to characterize these stiffness variations and their dynamic behavior under stochastic excitation.Using a simplified, symmetrically structured model, the study demonstrates that such changes can initiate system anomalies, accelerating the deterioration of the system's technical state and potentially leading to a significant reduction in component lifetime.