Multidisciplinary design optimization is a field of research that studies the application of
numerical optimization techniques to the design of engineering systems involving multiple …

Suspension parameters optimisation and matching is a very important topic in the design of
railway vehicles, and a reasonable combination of suspension parameters is the most …

Excellent hunting stability is required for the operation of high-speed trains. The suspension
parameter design needs to avoid primary and secondary hunting instability for the low and …

The purpose of this paper is to determine the lumped suspension parameters that minimise
a multi-objective function in a vehicle model under different standard PSD road profiles. This …

Hunting stability of high-speed train is an important objective for the optimization of bogie
suspension parameters. An adequate hunting stability margin is required for the high-speed …

Non-probabilistic reliability based multidisciplinary design optimization (NRBMDO) offers a
powerful tool for making reliable decisions with the consideration of uncertain-but-bounded …

The effects of bogie primary and secondary suspension stiffness and damping components
on the dynamics behavior of a high speed train are scrutinized based on the multiplicative …

Fluid–structure interaction (FSI) analysis is often highly computationally expensive, making it
infeasible to conduct iterative aeroelastic design studies or rigorous optimizations. This work …

To improve safety and maximum admissible speed on different operational scenarios,
multiobjective optimisation of bogie suspension components of a one-car railway vehicle …

The suspension parameters of railway vehicle bogies have a significant impact on the
dynamic performance. Its parameters are numerous, the model is complex, and there are …