Research on the Interior Noise Reduction of an Elastic Cavity by the Multipoint Panel Acoustic Contribution Method Based on Moore–Glasberg Loudness Model

Author:

Fan Rongping1,Meng Guang2,Su Zhongqing1

Affiliation:

1. Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong

2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China e-mail:

Abstract

More and more attention has been paid to reduce the low frequency interior noise of the elastic cavity, such as automobiles, ships, airplanes, and railway vehicles, to provide the more comfortable riding environment for passengers. Identification of the interior acoustical sources in the low frequency range is vitally important for the sound quality design inside the elastic cavity. By transformation of the sound pressure level into the specific loudness, a multipoint panel acoustic contribution method based on Moore–Glasberg loudness model is proposed to identify the acoustic contribution of local structural panels of an elastic cavity. The finite element (FE) equation of vibro-acoustic coupling structure with the visco-elastic damping is formulated to evaluate the acoustic panel contribution. Two parameters of acoustic contribution sum and total sound field contribution are derived to measure the acoustic contribution of each panel at the important peak frequencies for the multiple evaluation points. A carriage of high-speed train is modeled as the elastic cavity to demonstrate the application of the developed algorithm. The bottom panel of the carriage is identified to make the most significant contribution to the loudness of evaluation points. The reduction effect of the various design parameters of visco-elastic damping layer on the bottom panel is investigated. The proposed method can efficiently arrange the visco-elastic damping layer on the bottom panel to reduce the interior loudness.

Publisher

ASME International

Subject

General Engineering

Cited by 3 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