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模型比例和气流速度对高速列车头车和转向架气动噪声预测的影响

IF 5.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Engineering Applications of Computational Fluid Mechanics Pub Date : 2024-08-02 DOI:10.1080/19942060.2024.2384445
Deng Qin, Tian Li, Peng Zhou, Jiye Zhang
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引用次数: 0

摘要

通过数值模拟和风洞试验来预测实际列车模型的噪声，需要根据缩小的模型比例和气流速度进行适当的修正。本文利用...
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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Effect of model scale and airflow velocity on aerodynamic noise prediction for high-speed train leading car and bogie
Predicting noise from the actual train model by numerical simulation and wind tunnel testing requires appropriate corrections based on reduced model scale and airflow velocity. This paper utilises ...
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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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