Sensitivity Analysis of Suspension Parameters of the Critical Velocity of a Railway Bogie on a Tangent Track Using Standardized Regression Coefficients
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Abstract
This paper presents the sensitivity analysis using standardized regression coefficients (SRC) to enumerate an important factor of each suspension parameter on the critical velocity of a bogie. Due to uncertain parameters, the semi-global sensitivity analysis benefits both designers and maintenance engineers in controlling the risk levels of the screened components. The bogie represents a two-axle railway truck of the State Railway of Thailand (SRT). Six-degree-of-freedom motion equations describe its dynamic behaviors traveling on a tangent track. In a stochastic model, the stiffness and damping coefficients of suspension components are considered random variables with presumed Gaussian distribution. A probability distribution obtained, where the SRCs were derived, shows that the speed strongly correlates with the longitudinal yaw stiffness value of the primary suspension system. The secondary suspension system’s lateral and longitudinal yaw damping coefficients appear equally influential on the critical speed.
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