The Numerical Assessment of Optimal Equipment Allocation and Acoustical Barrier Shape in a Multi-Noise Plant by Using the Genetic Algorithm Method

In order to overcome the noise impact emitted from a multi-noise plant, a sound barrier, a popular noise control strategy, has been used in the industrial field for a long time. However, the traditional method in the design of a sound barrier is time-consuming and expensive. To improve acoustical performance efficiently, interest in shape optimization of a four-segment sound barrier in conjunction with optimal equipment allocation around the plant’s boundary is rising. In this paper, the novel technique of the genetic algorithm (GA) in conjunction with the theoretical sound propagation model and the method of minimized variation square are applied in the following numerical optimizations. Before a sound barrier is optimized, the sound propagation from one single noise is tested and compared with the experimental data for the purpose of accuracy within the mathematical model. Moreover, three kinds of noise-monitoring system (four-point, twelve-point, and twenty-eight-point) around the plant boundary have been adopted for verifying the deviation of the SPL between the simulated SPL and the specified target SPL. The results reveal that the both the sound barrier and the equipment can be properly shaped and allocated. Moreover, the more monitoring points used in the shape optimization of the sound barrier will result in a smaller area of the sound-barrier. Consequently, this paper may provide an efficient and rapid methodology in the noise minimization of a multi-equipment plant.

並列關鍵字

genetic algorithm ； multi-equipment plant ； shape optimization ； sound barrier

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