AN APPLICATION OF RESPONSE SURFACE METHOD TO DESIGN OPTIMIZATION OF A MODEL OF RAIL VEHICLE CONSIDERING UNCERTAINTIES

Authors

  • Adam Martowicz AGH University of Science and Technology
  • Piotr Kurowski AGH University of Science and Technology,
  • Tadeusz Uhl AGH University of Science and Technology
  • Grzegorz Lasko AGH University of Science and Technology

Keywords:

response surface method, metamodel, rail vehicle, tram, suspension system, travelling comfort, multibody model, design optimization, uncertainty propagation, genetic algorithms

Abstract

An application of design optimization methodology performed for a multibody model of real-live rail structure stands for the scope of present work. For carried out analyses a model of five-piece tram has been elaborated and then parameterized to allow for an effective and easy change of checked design configuration. There has been assumed the index of travelling comfort as an object of optimization process. Performed analyses have taken into account the uncertainty dealing with the number of passengers on board. The stiffness coefficients of springs of the primary and secondary suspension systems have been chosen as design parameters. Mentioned index has been calculated with virtually measured accelerations in the passengers area for assumed velocity of a run. For modeled rail there has been introduced roughness defined to represent real geometric imperfections. Response surface modeling based on polynomial regression has been applied as a surrogate for the full model to speed up the dynamic analyses. The work has used genetic algorithms for the optimization. Improved values of studied index confirm better comfort of traveling.

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References

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Published

2011-06-26

Issue

Vol. 30 No. 2 (2011)

Section

Articles

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