2012
DOI: 10.1016/j.jweia.2012.04.006
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Crosswind action on rail vehicles: A methodology for the estimation of the characteristic wind curves

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Cited by 61 publications
(36 citation statements)
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References 18 publications
(29 reference statements)
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“…Its solutions were based on the finite volume method. The wind speed profile has a large effect on the flow field (Cheli, Corradi, & Tomasini, 2012;Zheng, Zhang, & Gu, 2012), and may interfere with the analysis of the effect of the train length and wind break wall on the aerodynamic performance of a train. However, most of the previous studies, including those of Östh and Krajnović (2014), García, Muñoz-Paniagua, Jiménez, Migoya, and Crespo (2015), and Ashton and Revell (2015), did not consider this effect.…”
Section: Computational Model and Boundary Conditionsmentioning
confidence: 99%
“…Its solutions were based on the finite volume method. The wind speed profile has a large effect on the flow field (Cheli, Corradi, & Tomasini, 2012;Zheng, Zhang, & Gu, 2012), and may interfere with the analysis of the effect of the train length and wind break wall on the aerodynamic performance of a train. However, most of the previous studies, including those of Östh and Krajnović (2014), García, Muñoz-Paniagua, Jiménez, Migoya, and Crespo (2015), and Ashton and Revell (2015), did not consider this effect.…”
Section: Computational Model and Boundary Conditionsmentioning
confidence: 99%
“…The CWC of the freight wagons is computed using a stochastic approach, developed by the research group of the Politecnico di Milano [2,5]. This method is based on the numerical simulation of the dynamics of a vehicle subjected to the action of a real turbulent wind.…”
Section: Computational Procedures Of the Characteristic Wind Curvementioning
confidence: 99%
“…In the first step, the wind speed as a function of the time and the space is defined, according to a stochastic procedure, for specific values of turbulence intensity, integral length scale and mean wind speed [2,5].…”
Section: Computational Procedures Of the Characteristic Wind Curvementioning
confidence: 99%
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