2024
DOI: 10.1108/hff-06-2024-0454
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Quantification analysis of high-speed train aerodynamics with geometric uncertainty of streamlined shape

Hongkang Liu,
Qian Yu,
Yongheng Li
et al.

Abstract: Purpose This study aims to get a better understanding of the impact of streamlined high-speed trains (HSTs) with geometric uncertainty on aerodynamic performance, as well as the identification of the key parameters responsible for this impact. To reveal the critical parameters, this study creates a methodology for evaluating the uncertainty and sensitivity of drag coefficient induced by design parameters of HST streamlined shapes. Design/methodology/approach Bézier curves are used to parameterize the streamli… Show more

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