An approach to geometric optimisation of railway catenaries. Issue 8 (3rd August 2018)

• Record Type: Journal Article
• Authors: Gregori, Santiago; Tur, Manuel; Nadal, Enrique; Fuenmayor, Francisco Javier
• Is Part Of: Vehicle system dynamics. Volume 56:Issue 8(2018)
• Page Start: 1162
• Page End: 1186
• Publication Date: 2018-08-03
• Subjects: Railway catenary -- genetic algorithm -- optimisation -- pantograph–catenary interaction; Motor vehicles -- Dynamics -- Periodicals; Electronic journals; 629.231
• DOI: 10.1080/00423114.2017.1407434
• Languages: English
• ISSNs: 0042-3114

Abstract

ABSTRACT: The quality of current collection becomes a limiting factor when the aim is to increase the speed of the present railway systems. In this work an attempt is made to improve current collection quality optimising catenary geometry by means of a genetic algorithm (GA). As contact wire height and dropper spacing are thought to be highly influential parameters, they are chosen as the optimisation variables. The results obtained show that a GA can be used to optimise catenary geometry to improve current collection quality measured in terms of the standard deviation of the contact force. Furthermore, it is highlighted that apart from the usual pre-sag, other geometric parameters should also be taken into account when designing railway catenaries.