Optimization of double-layer absorbers on constrained sound absorption system by using genetic algorithm

As investigated by the Occupational Safety and Health Act (OSHA) in 1970, noise is highly responsible for the psychological and physiological ills to workers. Therefore, the noise control for an enclosed system with high echo effect becomes essential. Besides, the thickness of adopted sound absorber is occasionally constrained for maintenance, the interest in minimizing the noise under space constraint is then arising. In this paper, the shape optimization of double-layer absorber together with genetic algorithm (GA) is presented. Before optimization, one example is tested and compared with the experimental data for accuracy check of mathematical model. Thereafter, a simple optimal program in dealing with pure tone noise of 350 Hz has been pre-run to verify the correctness of genetic algorithm before the design in full band noise being performed. Results show that both the accuracy of mathematical model and the correctness of GA method are acceptable. Consequently, this study may provide a novel scheme with GA in solving the shape optimization of sound absorber on the constrained sound absorption system