RESEARCH ARTICLE
Fast Method to Evaluate Payload Effect on In-Train Forces of Freight Trains
Gabriele Arcidiacono1, Rossella Berni2, Luciano Cantone3, *, Nedka D. Nikiforova2, Pierpaolo Placidoli1
Article Information
Identifiers and Pagination:
Year: 2018Volume: 12
First Page: 77
Last Page: 87
Publisher ID: TOTJ-12-77
DOI: 10.2174/1874447801812010077
Article History:
Received Date: 30/12/2017Revision Received Date: 06/02/2018
Acceptance Date: 13/02/2018
Electronic publication date: 28/02/2018
Collection year: 2018
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction:
This paper introduces a fast method to evaluate the effect of payload distribution on in-train forces.
Methods:
The method is based on Strong Orthogonal Arrays (SOA) and the excellent space-filling properties of Latin Hypercube Design (LHD): SOA-based-LHD is proved to be very efficient in spanning the range of in-train forces for different types of trains (also considering distributed power/braking) and trains operations.
Results:
The distribution of the percentage of braked mass is used to consider the effect of payload distribution on in-train forces. Because of its computational efficiency, the method proposed here can be satisfactorily employed to perform an optimization analysis of train composition.