ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.211
Optimization of Multi-size Micro-perforated Panel Absorbers with Different Cavity Depths using Adaptive Genetic Algorithm
Abstract— With the development of society, noise pollution has become more and more serious. How
prevent and control the noise pollution to get the proper acoustic environment has been the hotspot.
Therefore, a broad band sound absorber which is thin, durable, clean and environmentally friendly is highly
demanded in modern society. In this paper, a new type of multiple size micro-perforated panel (MPP)
absorbers with different cavity depths is proposed and studied. Firstly, a mathematical model for multi-size
MPP absorbers with different cavity depths is developed. Thereafter, based on the established model,
adaptive genetic algorithm (AGA) is proposed in this study as a tool to solve the optimization problem of
finding the best combination of the constitutive parameters of multi-size MPP absorbers with different cavity
depths providing the maximum average absorption within a prescribed frequency range. Results show that
AGA provides a fast and effective method to solve the structure optimization of multi-size MPP absorbers
with different cavity depths.
Index Terms— multi-size MPP absorber, different cavity depths, adaptive genetic algorithm (AGA),
optimization
Zhenglian Lu
IOT Engineering College, HoHai University, CHINA
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]
Cite: Zhenglian Lu, "Optimization of Multi-size Micro-perforated Panel Absorbers with Different Cavity Depths using Adaptive Genetic Algorithm," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1213-1217, Beijing, 25-27 June, 2017.