Multibody modeling of railway vehicles: Innovative algorithms for the detection of wheel–rail contact points

The multibody simulation of railway dynamics needs a reliable and efficient method to properly describe the contact between wheel and rail.In this work innovative methods to evaluate the position of contact points are presented. The aim is to develop a method which can be implemented on-line, assuring a calculation time consistent with real-time calculations of multibody dynamics. At the same time it has to be very accurate, to properly predict the local forces at contact in order to describe even the wear of contact surfaces.In this work the authors present two different approaches to find stationary points during a multibody simulation. In the former the conditions to define a local minima are wrote in an analytical way. This makes possible to combine the conditions in order to reduce the analytic problem's dimension and then to solve numerically the problem with a low computational burden. The latter approach calculates the location of local minima using a method based on neural networks.The paper will cover the details of the proposed methods and the performances, in terms of computation time and accuracy, will be compared with those of the conventional algorithms used by commercial softwares, showing their reliability and low computational burden. Moreover, an implementation of the proposed models in a multibody simulator will be presented, in order to show their suitability for this application.

Research highlights▶ Innovative methods to evaluate position of wheel–rail contact points are presented. ▶ Aim: accurate (wear analysis) and fast (implemented on-line in MBS simulator) methods. ▶ Semi-analytic approach: contact surface as mathematical surface: accurate but slow. ▶ Neural networks (trained with semi-analytic methods): fast as reading look-up tables.