基于梯度化因子功能梯度点阵夹层结构优化设计

Optimization design of a functionally graded lattice sandwich structure based on gradient factor

基于梯度化因子的概念,利用ANSYS/LS-DYNA有限元仿真软件分别探讨了面板梯度化因子、芯层梯度化因子对梯度结构抗爆吸能的影响。以梯度化因子为优化变量,采用结构的面比吸能为优化目标,结合遗传算法对梯度结构进行优化。结果表明,梯度化因子的改变会影响结构的变形模式;面板梯度化因子对面比吸能影响很大,由于面板结构对芯子变形的约束,芯层梯度化因子的影响较小。与非梯度结构相比,优化后的梯度结构吸能值提高了一倍,这对提高点阵夹层结构的抗爆性能具有指导意义。

The energy absorption performance of a functionally graded lattice sandwich structure was studied based on gradient factor.The effects of face-sheet gradient factor and core one on the energy absorption performance of the graded structure were investigated,respectively using the FE simulation software ANSYS/LS-DYNA.The gradient factor was taken as the optimization variable and the surface specific energy absorption was taken as the optimization objective,the optimization of the graded structure was performed with the genetic algorithm.The results showed that changes of gradient factor affect the structure’s deformation mode;the influence of face-sheet gradient factor on the surface specific energy absorption is large;due to constraints of face-sheet structure on core deformation,the influence of the core graded factor is smaller;compared with non-graded structure,the energy absorption value of the graded structure after optimization increases by100%;the results provide a guide for improving the blast resistance performance of lattice sandwich structures.