Experimental simulation of alternating aerodynamic loads induced by high-speed trains passing in tunnels

Author:

Wang Qianxuan1,Hu Zhelong2,Liang Xifeng34,Wu Yitong34,Zhou Wei34ORCID,Yang Yi1,Xu Xiangnan1,Wang Sumei5

Affiliation:

1. School of Railway Tracks and Transportation, Wuyi University, Jiangmen, China

2. KTK Group Co., Ltd, Changzhou, China

3. School of Traffic & Transportation Engineering, Central South University, Changsha, China

4. Key Laboratory of Traffic Safety on Track (Central South University), Changsha, China

5. Hong Kong Branch of the National Rail Transit Electrification and Automation Engineering Technology Research Center, Hong Kong, China

Abstract

Tunnel passing at high speed produces aerodynamic load on railway trains, which may bring about fatigue failure on the car body, and damages passenger comfort due to interior penetration of the alternating wave. In this work, the air suction experiment approaches were developed. It performs excellently through internal and external loading utilizing valve controlling strategies. It is validated with an in-transit vehicle test when the train runs through 3 different tunnel lengths. The relative deviation between simulation and vehicle tests goes no more than 5.0%. Research outcome indicates that the proposed method provides an important experiment means for passenger comfort and car-body fatigue behavior research.

Funder

Hong Kong and Macau Joint Research and Development Fund of Wuyi University

the 2019 Characteristic Innovation Projects of Ordinary Universities in Guangdong Province

the Natural Science Foundation of Hunan Province of China

Publisher

SAGE Publications

Subject

Mechanical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3