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J. Pombo, J. Ambrósio, M. Pereira, R. Lewis, R. Dwyer-Joyce, C. Ariaudo and N. Kuka, “A Railway Wheel Wear Prediction Tool based on a Multibody Software,” Journal of Theoretical and Applied Mechanics, Vol. 48, No. 3, 2010, pp. 751-770.

has been cited by the following article:

• TITLE: Application of a Computational Tool to Study the Influence of Worn Wheels on Railway Vehicle Dynamics

  AUTHORS: João Pombo

  KEYWORDS: Wear Prediction Software; Steel Wheel Profile; Vehicle-Track Interaction; Wheel-Rail Contact Forces

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.2, February 27, 2012

  ABSTRACT: The search for fast, reliable and cost effective means of transport that presents better energy efficiency and less impact on the environment has resulted in renewed interest and rapid development in railway technology. To improve its efficiency and competitiveness, modern trains are required to travel faster, with high levels of safety and comfort and with reduced Life Cycle Costs (LCC). These increasing demands for vehicle requirements imposed by railway operators and infrastructure companies include maintaining the top operational speeds of trainsets during their life cycle, having low LCC and being track friendly. This is a key issue in vehicle design and in train operation since it has a significant impact on the safety and comfort of railway systems and on the maintenance costs of vehicles and infrastructures. The purpose of this work is to analyze how the wear progression on the wheelsets affects the dynamic behavior of railways vehicles and its interaction with the track. For this purpose a vehicle, assembled with new and worn wheels, is studied in realistic operation scenarios. The influence of the wheel profile wear on the vehicle dynamic response is assessed here based on several indicators used by the railway industry. The running stability of the railway vehicles is also emphasized in this study.