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敷设聚脲的吸声模型改进粒子群算法优化

张文成 周穗华 瞿洋

张文成, 周穗华, 瞿洋. 敷设聚脲的吸声模型改进粒子群算法优化[J]. 西南交通大学学报, 2012, 25(4): 698-704. doi: 10.3969/j.issn.0258-2724.2012.04.026
引用本文: 张文成, 周穗华, 瞿洋. 敷设聚脲的吸声模型改进粒子群算法优化[J]. 西南交通大学学报, 2012, 25(4): 698-704. doi: 10.3969/j.issn.0258-2724.2012.04.026
ZHANG Wencheng, ZHOU Suihua, QU Yang. Improved Particle Swarm Optimization Algorithm for Sound Absorption Model with Polyurea Coating[J]. Journal of Southwest Jiaotong University, 2012, 25(4): 698-704. doi: 10.3969/j.issn.0258-2724.2012.04.026
Citation: ZHANG Wencheng, ZHOU Suihua, QU Yang. Improved Particle Swarm Optimization Algorithm for Sound Absorption Model with Polyurea Coating[J]. Journal of Southwest Jiaotong University, 2012, 25(4): 698-704. doi: 10.3969/j.issn.0258-2724.2012.04.026

敷设聚脲的吸声模型改进粒子群算法优化

doi: 10.3969/j.issn.0258-2724.2012.04.026
基金项目: 

国防预研基金资助项目(201030101)

详细信息
    通讯作者:

    周穗华(1962-),男,教授,博士,博士生导师,主要研究方向为目标总体技术,E-mail:zzsrice@163.com

Improved Particle Swarm Optimization Algorithm for Sound Absorption Model with Polyurea Coating

  • 摘要: 为了提高敷薄吸声层的水下小目标的隐身性能,以敷设聚脲的多层结构为基本吸声模型,推导了模型的反射系数计算公式.针对材料优化的应用需求,将粒子群算法的局部算法和全局算法相结合,改进粒子群算法的优化策略,得到了动态混合粒子群算法,提高了收敛能力和搜索精度.利用该算法对多层吸声模型的材料参数进行寻优,结果表明:当吸声材料杨氏模量近似为频率的分段线性函数时,其吸声性能最优.在此基础上,建立了提高模型吸声性能的理论方法,并进行了实例验证,结果表明,该方法可使模型吸声性能在140~500 kHz范围内达到-10dB以上.

     

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出版历程
  • 收稿日期:  2011-07-10
  • 刊出日期:  2012-08-25

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