Particle swarm optimization based parametrization of adhesion and creep force models for simulation and modelling of railway vehicle systems with traction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F20%3A39915541" target="_blank" >RIV/00216275:25510/20:39915541 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1569190X19301571" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1569190X19301571</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.simpat.2019.102026" target="_blank" >10.1016/j.simpat.2019.102026</a>

Result language

angličtina

Original language name

Particle swarm optimization based parametrization of adhesion and creep force models for simulation and modelling of railway vehicle systems with traction

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10102 - Applied mathematics

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Simulation Modelling Practice and Theory

ISSN

1569-190X

e-ISSN

—

Volume of the periodical

99

Issue of the periodical within the volume

14.11.2019

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

18

Pages from-to

—

UT code for WoS article

000503838300009

EID of the result in the Scopus database

2-s2.0-85075154163