Wear/Comfort Pareto Optimisation of Bogie Suspension

Pareto optimization of bogie suspension components is considered for a 50 degrees of freedom railway vehicle model to reduce wheel/rail contact wear and improve passenger ride comfort. Several operational scenarios including tracks with different curve radii ranging from very small radii up to straight tracks are considered for the analysis. In each case, the maximum admissible speed is applied to the vehicle. Design parameters are categorized into two levels and the wear/comfort Pareto optimization is accordingly accomplished in a multistep manner to improve the computational efficiency. The genetic algorithm (GA) is employed to perform the multi-objective optimization. Two suspension system configurations are considered, a symmetric and an asymmetric in which the primary or secondary suspension elements on the right- and left-hand sides of the vehicle are not the same. It is shown that the vehicle performance on curves can be significantly improved using the asymmetric suspension configuration. The Pareto-optimized values of the design parameters achieved here guarantee wear reduction and comfort improvement for railway vehicles and can also be utilized in developing the reference vehicle models for design of bogie active suspension systems.

Language

  • English

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Filing Info

  • Accession Number: 01603747
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 18 2016 3:00PM