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基于涡流发生器阵列的列车防侧倾性能研究

IF 5.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Engineering Applications of Computational Fluid Mechanics Pub Date : 2023-11-07 DOI:10.1080/19942060.2023.2275614
Bin Xu, Xiaodong Chen, Tanghong Liu, Zhengwei Chen, Wenhui Li, Yutao Xia, Xiaoshuai Huo, Hongrui Gao, Hongkang Liu
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引用次数: 0

摘要

涡流发生器（VGs）已显示出缓解强风引起的列车运行不稳定问题的潜力。用数值模拟方法预测了环空区的流动结构。。。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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On the anti-rolling performance of a train using a vortex generator array
Vortex generators (VGs) have shown the potential to mitigate the train's operational instability issues caused by strong wind. Numerical simulations are used to predict the flow structures around a...
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来源期刊
Engineering Applications of Computational Fluid Mechanics
Engineering Applications of Computational Fluid Mechanics ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, MECHANICAL
CiteScore
10.60
自引率
14.80%
发文量
109
审稿时长
3.4 months
期刊介绍： The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal.
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