Numerical Investigation on the Transmission Loss of Skin Panels Based on the Intelligent PSO-CGA Algorithm

• Main Authors: Hui Zhang, Guo-Liang Xu, Wei Yin, Hong-Bo Wang, Peng Ge
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Skin panels; transmission loss; CGA algorithm; PSO algorithm; novel PSO-CGA algorithm
• Online Access: https://ieeexplore.ieee.org/document/8359016/

In the reported research, they only analyzed the impacts of restraint damping parameters on acoustic characteristics of skin panels, but failed to adopt advanced optimization algorithms to conduct an optimization design on restraint damping effects. In addition, they did not conduct further research on noises in cabins with skin panels as the basis. Aiming at these questions, according to the acoustic model and the PSO-CGA algorithm, the acoustic characteristics of the skin panel were conducted a multi-objective optimization, and a better structure with low noise and light weight was finally obtained. The computational model was also validated by its experimental test. In order to verify the effectiveness of the PSO-CGA algorithm after parameter selection, it was compared with the traditional CGA and PSO algorithm. Three kinds of algorithms adopted the same population to conduct a multi-objective optimization of transmission loss of skin panels. Optimized results showed that: the PSO-CGA model in the paper had a high clustering degree. Transmission loss of most iteration points was obviously more than those of other two kinds of algorithms. Noises in the cabin could be improved effectively.