Randomized trial optimizes suspension systems to enhance fatigue life and reduce stress in freight vehicles, suggesting improved reliability.
Vibration-induced fatigue in freight vehicle suspension systems significantly affects structural durability and operational safety. This study develops a comprehensive dynamic model integrating quarter-car and half-car configurations to analyze vibration transfer mechanisms and optimize suspension parameters for extended fatigue life. The mathematical framework is based on the Kelvin–Voigt representation of elastic-damping elements, while road roughness excitation is introduced through measured spectral characteristics. A multi-objective optimization approach combining fatigue life estimation and ride comfort criteria was implemented using Particle Swarm Optimization. The results demonstrate that optimized damping and stiffness configurations can reduce peak stress amplitudes by up to 35 % and extend fatigue life by approximately twofold compared to baseline conditions. Model validation confirmed strong consistency between simulated and experimental responses. The proposed approach provides a reliable and computationally efficient framework for enhancing vibration resistance of freight suspensions, contributing to increased reliability and service life of heavy-duty transport systems.
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Rustamov et al. (2026) studied this question.
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