Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm.

ABSTRACT: Porous materials have been widely used in the field of noise control. The non-acoustical parameters involved in the sound absorption model have an important effect on the sound absorption performance of porous materials. How to identify these non-acoustical parameters efficiently and accurately is an active research area and many researchers have devoted contributions on it. In this study, a modified particle swarm optimization algorithm is adopted to identify the non-acoustical parameters of the jute fiber felt. Firstly, the sound absorption model used to predict the sound absorption coefficient of the porous materials is introduced. Secondly, the model of non-acoustical parameter identification of porous materials is established. Then the modified particle swarm optimization algorithm is

SUBMITTER: Xu X 

PROVIDER: S-EPMC8096118 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature