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基于粒子群演化算法理论,编写了粒子群优化计算程序,运用基准测试函数验证了优化程序的准确性。利用夹芯复合材料空腔谐振声学特性试验样本,分别建立了空气背衬和水背衬条件下的优化分析模型,进行了声学性能优化分析,确定了最优空腔个数和体积。在此基础上,利用夹芯复合微穿孔吸声材料声学特性试样样本,建立模型进行了优化分析,综合权衡了设计参数对声学特性的影响,确定了最佳共振频率和吸声带宽对应的参数范围。
Based on Particle Swarm Evolution algorithm theory, a particle swarm optimization program is written, and the accuracy of the optimization program is verified by benchmark test functions. Based on the cavity acoustic resonance characteristics of sandwich composite samples, the optimal analytical model under air-backed and water-backed conditions was established respectively. The optimal acoustic performance was analyzed to determine the optimum cavity number and volume. Based on this, the sample of acoustic properties of sandwich composite microperforated sound-absorbing material was established and the model was optimized. The influence of design parameters on the acoustic properties was comprehensively evaluated. The optimal resonance frequency and the corresponding absorption bandwidth Parameter range.