2021
DOI: 10.1109/tvt.2021.3054459
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A Response Spectrum Analysis of Wind Deflection in Railway Overhead Contact Lines Using Pseudo-Excitation Method

Abstract: The wind deflection of overhead contact lines (OCLs) challenges the stable and safe operation of electrified railways. The steady wind causes the static deflection of the contact line, while the fluctuating wind leads to the OCL buffeting. This paper performs a response spectrum analysis of the wind deflection caused by the combined effects of steady and fluctuating winds. Considering the initial configuration of OCL, an absolute nodal coordinate formulation method is employed to model the OCL. A spatial wind … Show more

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Cited by 25 publications
(9 citation statements)
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“…Apart from the simulation in ideal working conditions, the environmental perturbations and the pantograph-catenary errors are appropriately modelled to investigate their effect on the current collection quality. e wind field along the catenary was constructed [25,26], and the buffeting behavior was analyzed in [27]. e traditional vortex-induced vibration in bridge engineering [28] was not the main issue for railway catenary.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Apart from the simulation in ideal working conditions, the environmental perturbations and the pantograph-catenary errors are appropriately modelled to investigate their effect on the current collection quality. e wind field along the catenary was constructed [25,26], and the buffeting behavior was analyzed in [27]. e traditional vortex-induced vibration in bridge engineering [28] was not the main issue for railway catenary.…”
Section: Literature Reviewmentioning
confidence: 99%
“…But the stochastics of the wind load is not taken into account. In [28], the Pseudo-Excitation Method is used to evaluate the dispersion of the catenary response subjected to a crosswind. However, the geometrical nonlinearity and dropper slackness cannot be involved in a response spectrum analysis method.…”
Section: Catenarymentioning
confidence: 99%
“…To achieve convincing numerical results, the measurement data from field tests are utilised to modify and validate numerical models, which has prompted new measurement and identification techniques [10,11]. Another state of the art is to digitalise the external disturbance from vehicletrack [12,13], wind load [14] and other experimental factors and adequately include them in the numerical model. In order to improve the numerical efficiency, some scholars have devoted their attention to developing fast simulation techniques, such as the moving mesh [15], moving window [16] and offline integration method [17].…”
Section: Introductionmentioning
confidence: 99%