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Optimization of constrained composite absorbers using simulated annealing

机译:模拟退火优化约束复合材料吸收体

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Sound reverberation is an important problem in some industrial environments. As indicated by the Occupational Safety and Health Act of 1970, noise is responsible for the psychological and physiological ills of workers. Therefore reduction of reverberation becomes essential. For maintenance and other reasons, the thickness of sound absorbers used for reverberation control may be constrained. Consequently there is interest in minimizing noise using sound absorbers with constrained thickness. Optimization of a composite absorber using a simulated annealing algorithm is presented. Simulated annealing is a stochastic relaxation technique based on analogy with the physical process of annealing metal. The algorithm requires a mathematical model for the acoustical properties of the absorber. Before optimization, the accuracy of the mathematical model was checked against experimental data. A program for optimizing in respect of broad band noise at a specified receiver has been created and run. Results prove that SA optimization provides a quick and efficient approach in designing constrained thickness composite sound absorbers.
机译:在某些工业环境中,声音混响是一个重要的问题。如1970年《职业安全与健康法》所述,噪声是造成工人心理和生理疾病的原因。因此,减少混响变得至关重要。出于维护和其他原因,用于混响控制的吸声器的厚度可能会受到限制。因此,有兴趣使用具有受限厚度的吸声器来最小化噪声。提出了使用模拟退火算法优化复合材料吸收体的方法。模拟退火是一种类似于金属退火物理过程的随机弛豫技术。该算法需要一个用于吸收器声学特性的数学模型。在优化之前,对照实验数据检查数学模型的准确性。已经创建并运行了用于优化指定接收器处的宽带噪声的程序。结果证明,SA优化为设计约束厚度的复合吸声器提供了一种快速有效的方法。

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