紧缩场蜂窝夹层反射面板材料参数优化反求

紧缩场高精度蜂窝夹层结构反射面板由经特殊工艺处理的铝蜂窝芯和表层铝板胶接而成 , 解析计算和材料力学性能试验很难准确获得该夹层板的材料性能参数。本文中采用数值2试验混合模型方法对该种夹层板的等效材料性能参数进行了优化反求。正向分析采用有限元方法 , 逆向分析采用遗传算法和梯度法组合优化算法。正、 逆分析过程的无缝集成和组合优化算法策略使反求效率明显提高。试验验证表明 , 采用反求方法获得的材料性能参数能够精确反应该夹层板的弹性本构关系 , 建立在该材料参数基础上的有限元模型具有理想的精度。

Material parameter identif ication of sandwich reflector panels of compact antenna test range by genetic algorithm2based inverse method

High precision sandwich reflector panels of compact antenna test range are made of aluminum face sheetand honeycomb core t reated by a special process. The constitutive parameters of this kind of sandwich panel are difficult to obtain by the t raditional analytical methods and mechanical property test s. A mixed numerical2 experi2 mental model method was proposed to estimate the panel  equivalent elastic material parameters. In this method , the forward analysis was predicted using the finite element method and the inverse analysis was an algorithm combined genetic algorithm and gradient method. By using the proposed optimization algorithm and seamless integration between forward and inverse analyses , the mixed numerical2experimental model method was more effi2 cient . A comparison between the result s of numerical simulation and the experiment shows that material parameters f rom inverse identification describe the constitutive relations of this kind of sandwich panel faithfully. The numerical simulation model based on the parameters is reliable.