Optimization of high speed EMU suspension parameters for vibration reduction

Seung Guk Baek, Bumsik Shin, Sang Won Lee, Yeon Sun Choi, Jinhyun Kim, Ja Choon Koo

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Various designs of high speed EMU (electric multiple units) operating at maximum speed of 400 km/h or above are under active development in many countries. Driving at such extreme high speed, the EMUs that are equipped with multiple power units and non articulated bogies normally experience severe level of vibration. Noting one of the primary design issues of the vertical EMU vibration, the present work tries an optimization of vehicle suspension system using ten degree of freedom analytical EMU model. The objective function for the work is consisted of the rail power spectral density (PSD), transfer function of car body, and frequency dependent weighting function which may represent human riding comfort. The transfer function is formulated using an autocorrelation of the model in frequency domain. For the enhanced reliability of the optimization work, both the US FRA (Federal Railway Administration) rail PSD and the actual rail PSD acquired from Kyeong-bu high speed rail in Korea on which the particular EMU will be driven are used. The well proven BFGS (Broyden-Fletcher-Goldfarb-Shanno) method is adopted for the optimization. The optimized design is verified using a commercial dynamic system simulation code at various operating conditions.

Original languageEnglish
Pages (from-to)305-311
Number of pages7
JournalJournal of Mechanical Science and Technology
Volume27
Issue number2
DOIs
StatePublished - Feb 2013

Keywords

  • BFGS algorithm
  • Electric multiple units
  • Frequency domain
  • High speed train
  • Optimization
  • Suspension

Fingerprint

Dive into the research topics of 'Optimization of high speed EMU suspension parameters for vibration reduction'. Together they form a unique fingerprint.

Cite this