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Optimization Design of Serial-Parallel Coupled Micro-Perforated Panel Absorbers by Genetic Algorithm

It is found that a new type of serial-parallel coupled micro-perforated panel absorbers (SPMPA) possess a good sound absorption performance. However, compared with traditional single layer MPP absorbers, such type of MPP absorbers have more complicated construction and involve more structure parameters, which therefore make the design of SPMPA more difficult and complicated. To solve this problem, an optimization design of SPMPA is proposed and studied. Firstly, based on the mathematical model of SPMPA, genetic algorithm (GA) is used in this study as a tool to solve the optimization problem of finding the best combination of the structure parameters of SPMPA providing the maximum average absorption within a prescribed frequency band and given variation ranges of their constitutive parameters. Results show that GA provides a quick and effective method in designing SPMPA.