Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/1410
Title: Particle swarm optimization based parametrization of adhesion and creep force models for simulation and modelling of railway vehicle systems with traction
Authors: Onat, Altan
Voltr, Petr
Keywords: Railway vehicle simulation
Particle swarm optimization
Roller-Rig
Adhesion
Creep force
Wheel-rail contact
Issue Date: 2020
Publisher: Elsevier
Abstract: Adhesion and creep force models play an important role in the realistic simulation of railway vehicle systems. These models are mainly based on experiments and they are determined heuristically. In previous studies, no metric is defined to demonstrate the level of agreement between these models and measurements. This study aims to provide such metric, and particle swarm optimization based parametrization of adhesion and creep force models is proposed for simulation of railway vehicle systems based on the measurements. Root mean squared error is considered as a metric for the level of agreement between models and measurements. In order to compare two approaches and reveal the superiority of optimal parametrization in simulations with respect to the heuristic approach, measurements taken from a tram wheel test stand, which simulates the traction system of some trams produced in Czechia, are considered. A mathematical model of the traction system of the test stand is obtained for simulation, and two approaches are compared based on the root mean squared error between these simulations and measurements. Several contact conditions are considered during experiments. This study demonstrates the necessity of optimal parametrization of adhesion and creep force models for realistic simulation of railway vehicle systems. Furthermore, particle swarm optimization method is introduced as an automation tool for modelling adhesion between wheel and rail when investigation of a large number of measurements are required for design, analysis and simulation.
URI: https://doi.org/10.1016/j.simpat.2019.102026
https://hdl.handle.net/20.500.13087/1410
ISSN: 1569-190X
1878-1462
Appears in Collections:Makine Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

Show full item record

CORE Recommender

WEB OF SCIENCETM
Citations

7
checked on Jun 22, 2022

Page view(s)

70
checked on Oct 3, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.