摘要
汽车噪声是道路交通噪声的重要组成部分,直接影响城市道路交通声环境质量和居民日常生活,持续降低有关汽车噪声法规中汽车噪声限值有利于提高道路交通声环境质量。对某汽车噪声法规及其限值进行分析,采用最小二乘法建立汽车加速行驶时车外噪声限值的线性回归、二次回归预测模型,得到噪声限值预测值。从预测模型分析结果可知:二次回归预测模型计算结果接近现行法规限定值,误差率小,其准确度优于线性回归模型。最后,将该预测模型用于GB 1495《汽车加速行驶车外噪声限值及测量方法》中噪声限值的预测,其结果可为我国有关法规中汽车噪声限值修订提供参考。
Motor vehicle noise is an important part of road traffic noises,which directly affects the quality of urban road traffic sound environment and residents’daily life.Continuously reducing the vehicle noise limit value of automobile noise laws and regulations is beneficial for improvement of the quality of road traffic acoustic environment.In this paper,the automobile noise regulations and their limits are analyzed and two prediction models are developed by using the linear regression and quadratic regression respectively to determine the limit values of the automobile noise.According to the results of the proposed prediction models,the results using the quadratic regression model is much closer to the limit value of the current regulations with small errors.So,the quadratic regression model is better than the linear regression model.As a result,the quadratic regression model is used to predict the noise limit in GB 1495“limits and measurement methods for noise emitted by accelerating motor vehicles”and recommended as a reference for the revision of automobile noise limit regulations.
作者
谭刚平
杨春晖
陈清爽
杨文鹏
TAN Gangping;YANG Chunhui;CHEN Qingshuang;YANG Wenpeng(School of Mechanical and Electrical Engineering,Nanchang University,Nanchang 330031,China;School of Engineering,Western Sydney University,Kingswood,NSW 2747,Australia;The Jiangxi Province Key Laboratory of Noise and Vibration,Nanchang 330052,China)
出处
《噪声与振动控制》
CSCD
北大核心
2021年第2期174-178,共5页
Noise and Vibration Control
基金
江西省科技厅重点研发资助项目(20171BBE50037)。
关键词
声学
汽车
噪声限值
法规
预测模型
回归
acoustics
motor vehicle
noise limit value
regulation
prediction model
regression
