Improving the noise reduction performance of gangway bellows by using multilayered structures

Author:

Noh Hee-Min1ORCID

Affiliation:

1. Transportation Environmental Research Team, Korea Railroad Research Institute, Uiwang-si, South Korea

Abstract

Excessive interior noise in railway vehicles is a major cause of fatigue and discomfort for passengers. In particular, the between-cars sections of high-speed trains experience considerable interior noise due to the poor noise reduction performance of the bellows, which are primarily made of silicone rubber and thus have a lower density than that of other components, made of extruded aluminum. Therefore, the objective of this study was to improve the noise reduction performance of such bellows. First, the material properties of silicone rubber were analyzed. Based on the results, the noise transmission of a simple model was analyzed to determine approaches required to reduce the low-frequency interior noise of the between-cars sections. It was confirmed that the low-frequency noise could be reduced by incorporating a multilayered panel of silicone rubber. Therefore, multilayered structures were considered for incorporation in the interior space of the between-cars sections of an actual high-speed train. A curved driving simulation of the between-cars sections indicated that no interference occurs when applying the proposed approach. Furthermore, a comparative test regarding the noise reduction performance was conducted considering cases involving bellows with and without multiple layers. The results of the verification test demonstrated that the noise reduction performance when using the proposed approach was improved by 4 dB compared with that in the case involving the conventional bellows, and an improvement of 8 dB or more was observed for noise with a low-frequency of 100 Hz.

Funder

Korea Railroad Research Institute

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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