利用敷设吸声材料的多层模型反射系数反演吸声材料物性参数,对研究材料参数测量、模型性能实验和预报具有重要的意义。文中建立了敷设粘弹性材料吸声结构的材料参数反演模型,通过改进标准粒子群算法,将智能反演应用到吸声模型材料参数反演中。以橡胶材料验证了反演过程和反演结果的正确性和准确性,在此基础上,利用几个维度的测量值反演了聚脲材料的物性参数。反演结果表明,文中改进的动态混合粒子群算法具有较高的反演精确度,利用反射系数部分测量值反演材料参数是可行的,对减少实验工作量及吸声模型性能预报具有重要意义。
Research on material physical parameters by reflectance of multiple-layer ab~rption model covered with viscoelastic material is significant for material parameters measure, experiment and prediction of model performance. This paper provided physical parameters inversion model of multiple-layer structures abmrption material. The improved standard Particle Swarm Optimization was applied to material parameters inversion of sound absorption model. Taking the rubber as an example, this paper validated correctne~ and veracity of the inversion protein. On this basis, the physical parameters inversion of spray poiyurea elastomer was carried out by fractional measured values of absorption model reflectance. The result shows that the improved dynamic Particle Swarm Optimization has preferable performance in parameters inversion, the material physical parameters inversion by partial measured reflectance values is feasible and significant to performance prediction of sound absorption model.
参考文献
| [1] | 田明俊 .智能反演算法及其应用研究[D].大连理工大学,2005. |
| [2] | 张文成,周穗华,蒋安林.聚脲涂层结构模型吸声性能及应用研究[J].武汉理工大学学报（交通科学与工程版）,2011(03):583-586. |
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