Vibration Mitigation in the Railcar Floor Panel Using a Topologically Optimized Auxetic Layer

Hosseinkhani A., Younesian D., RANJBAR M.

International Journal of Structural Stability and Dynamics, vol.23, no.9, 2023 (SCI-Expanded, Scopus)

  • Publication Type: Article / Article
  • Volume: 23 Issue: 9
  • Publication Date: 2023
  • Doi Number: 10.1142/s0219455423501006
  • Journal Name: International Journal of Structural Stability and Dynamics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Keywords: Topology optimization, auxetics, passenger train, vibration control, floor panel
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

© 2023 World Scientific Publishing Company.This paper aims at to improve the vibration behavior of the train floor panel by the use of a cellular auxetic layer. A field measurement is performed to obtain the vibrational frequency content of the body floor moving on the tangent track. Using acceleration sensors, the vibrational response is measured on the bogie (as the input excitation) and on the floor panel (as the observation response). Finite Element modeling for the floor panel is accomplished and measurement data are used for both the input excitation and the verification of the numerical results. The floor panel is a sandwich panel containing multiple layers. In this study, the conventional wooden layer of the panel is substituted with a cellular auxetic one with a re-entrant hexagonal pattern. Then, an optimization problem is defined while the topological parameters of the auxetic layer are the design variables and the dynamic performance of the panel is the objective function. The parameter of power-mass-ratio (PMR) is defined taking the effects of both weight and dynamic response amplitude into calculation. It is found that the PMR is reduced to almost 0.6 by replacing the wooden layer with an auxetic one, and after topological optimization, it is reduced to 0.35.