2016
DOI: 10.1016/j.jweia.2016.03.003
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Multi-objective optimization of a high-speed train head based on the FFD method

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Cited by 65 publications
(38 citation statements)
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“…Previous studies on the pantograph monitoring system emphasizes the device functionality and artistic features in design stage (Liu et al, 2018;Marta et al, 2017;Chen, 2016;GU, 2013). Aerodynamic features of the device do not receive much attention until the end stage of the device design, when the device shape is slightly optimized based on its aerodynamic performance (Zhou et al, 2015;Branke et al, 2008;Li et al, 2016). With this design process, the aerodynamic feature of the device is not involved in topological structure innovation (Tian, 2007).…”
Section: Instroductionmentioning
confidence: 99%
“…Previous studies on the pantograph monitoring system emphasizes the device functionality and artistic features in design stage (Liu et al, 2018;Marta et al, 2017;Chen, 2016;GU, 2013). Aerodynamic features of the device do not receive much attention until the end stage of the device design, when the device shape is slightly optimized based on its aerodynamic performance (Zhou et al, 2015;Branke et al, 2008;Li et al, 2016). With this design process, the aerodynamic feature of the device is not involved in topological structure innovation (Tian, 2007).…”
Section: Instroductionmentioning
confidence: 99%
“…This technique therefore enables the optimisation of complex geometries (Sun et al, 2010). It has also been widely used in different optimisation problems (Lee et al, 2011;Li et al, 2016;Sun et al, 2010).…”
Section: Geometry Regenerationmentioning
confidence: 99%
“…Chen et al (2017) employed the DES method to analyze changes in the trackside pressure caused by trains with different nose lengths according to the EN standard requirement and demonstrated that the maximum c∆p value decreased with increasing nose length in a quadratic polynomial relationship. A number of researchers have also investigated reducing the aerodynamic drag of trains by optimizing the shape of the nose (Li et al, 2016;Zhang et al, 2018). Hemida and Krajnovic (2008) studied crosswind flows around two highspeed trains with different nose shapes using LES.…”
Section: Introductionmentioning
confidence: 99%