The multibody simulation of railway dy- namics needs a reliable efficient method to evaluate the contact points between wheel and rail. In this work some methods to evaluate position of contact points are presented. The aim is to develop a method which is reliable in terms of precision and can be imple- mented on-line, assuring a calculation time consistent with real-time calculations of multibody dynamics.

Determination of wheel–rail contact points: comparison between classical and neural network based procedures / S. Falomi; M. Malvezzi; E. Meli; A.Rindi. - In: MECCANICA. - ISSN 0025-6455. - ELETTRONICO. - 44:(2009), pp. 661-686. [10.1007/s11012-009-9202-6]

Determination of wheel–rail contact points: comparison between classical and neural network based procedures

FALOMI, STEFANO;MELI, ENRICO;RINDI, ANDREA
2009

Abstract

The multibody simulation of railway dy- namics needs a reliable efficient method to evaluate the contact points between wheel and rail. In this work some methods to evaluate position of contact points are presented. The aim is to develop a method which is reliable in terms of precision and can be imple- mented on-line, assuring a calculation time consistent with real-time calculations of multibody dynamics.
2009
44
661
686
S. Falomi; M. Malvezzi; E. Meli; A.Rindi
File in questo prodotto:
File Dimensione Formato  
articolo meccanica marzo 2009.pdf

accesso aperto

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Open Access
Dimensione 1.78 MB
Formato Adobe PDF
1.78 MB Adobe PDF
ABSTRACT Determination of wheel–rail contact points.pdf

accesso aperto

Tipologia: Altro
Licenza: Open Access
Dimensione 43.2 kB
Formato Adobe PDF
43.2 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/627626
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 31
  • ???jsp.display-item.citation.isi??? 28
social impact