The use of a linear half - vehicle model for the optimization of damping in the passive suspension system of a railway car

Zbigniew Lozia , Ewa Kardas-Cinal


The paper presents a methodology of optimizing the parameters of the passive suspension system of a railway vehicle. A linear half - vehicle model and an example of the procedure carried out to optimize a selected parameter of the model have been demonstrated. A method of the selection of damping in the suspension system of a railway vehicle, based on over 40 - year achievements of the cited authors of publications in the field of motor vehicles, has been shown. The optimization of linear damping in the secondary suspension system of a passenger carriage moving on a track with random profile irregularities has been described in detail. The algorithms adopted for the calculations have a wider range of applicability; especially, they may be used for determining the optimum values of the other parameters of the railway vehicle model under analysis, i.e. stiffness of the secondary suspension system as well as stiffness and damping of the primary suspension system.
Author Zbigniew Lozia (FT / DVMO)
Zbigniew Lozia,,
- Department of Vehicle Maintance and Operation
, Ewa Kardas-Cinal (FT / DCFTE)
Ewa Kardas-Cinal,,
- Department of Constrctions Fundamentals of Transport Equipment
Journal seriesArchives of Transport, ISSN 0866-9546, e-ISSN 2300-8830
Issue year2016
Publication size in sheets0.9
Keywords in Englishsuspension system of a railway vehicle, damping coefficient, optimization, half - vehicle model
ASJC Classification3313 Transportation; 2203 Automotive Engineering
Languageen angielski
Score (nominal)14
Score sourcejournalList
ScoreMinisterial score = 14.0, 28-06-2020, ArticleFromJournal
Ministerial score (2013-2016) = 14.0, 28-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 2; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.244
Citation count*2 (2020-09-08)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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