首页> 外文会议>International Building Physics Conference >A novel statistical model for predicting sound absorption in multilayered systems
【24h】

A novel statistical model for predicting sound absorption in multilayered systems

机译:一种用于预测多层系统吸声的新型统计模型

获取原文

摘要

The aim of this paper is to present a novel statistical model based on multiple linear regression. Although the independent variables of most statistical methods for predicting sound absorption are the specific flow resistivity and material thickness, the model presented here considers alternative parameters: specific acoustic impedance, density and specific flow resistivity. First, some materials are tested in an impedance tube in order to obtain their acoustic characteristics. Second, macroscopic empirical models (The Delany-Bazley's and Allard and Champoux models) were used to predict the sound absorption coefficient of distinct multilayered systems. Third, the statistical model proposed herein is developed and its accuracy verified.
机译:本文的目的是介绍基于多元线性回归的新型统计模型。尽管用于预测吸声的大多数统计方法的独立变量是特定的流动电阻率和材料厚度,但是本发明呈现的模型考虑了替代参数:特定的声阻抗,密度和特定的流动电阻率。首先,在阻抗管中测试一些材料以获得其声学特性。其次,宏观实证模型(Delany-Bazley和Allard和Champoux模型)用于预测不同多层系统的吸音系数。第三,开发了本文所提出的统计模型及其精度验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号