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

DOI10.1007/S11012-009-9202-6zbMath1258.70005OpenAlexW2055069036MaRDI QIDQ1937635

Andrea Rindi, Stefano Falomi, Enrico Meli, Monica Malvezzi

Publication date: 1 March 2013

Published in: Meccanica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11012-009-9202-6

zbMATH Keywords

neural networkswheel-rail contactsemi-analytic methods

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to mechanics of particles and systems (70-08) Dynamics of multibody systems (70E55) Motion of a rigid body in contact with a solid surface (70E18)

Related Items (4)

The worst response of mistuned bladed disk system using neural network and genetic algorithm ⋮ Development of a model for the analysis of wheel wear in railway vehicles ⋮ Performance and robustness analysis of a Hardware in the Loop full-scale roller-rig for railway braking and traction testing ⋮ An innovative degraded adhesion model for railway vehicles: development and experimental validation

Uses Software

• Neural Network Toolbox

Cites Work

• Unnamed Item
• Determination of wheel-rail contact points with semianalytic methods
• MBS approach to generate equations of motions for HiL-simulations in vehicle dynamics
• On the computer formulations of the wheel/rail contact problem
• A Simplex Method for Function Minimization
• An augmented formulation for mechanincal systems with non-generalized coordinates: Application to rigid body contact problems
• A survey of rail vehicle track simulations and flexible multibody dynamics

This page was built for publication: Determination of wheel-rail contact points: comparison between classical and neural network based procedures