Micropore shape optimization for natural vibration design of porous structures

Junpei Fujita, M. Shimoda
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引用次数: 1

Abstract

In this paper, we present a shape optimization method for periodic microstructures to maximize a specified vibration eigenvalue of a porous macrostructure. The homogenized elastic moduli calculated by the homogenization method are applied to the macrostructure to connect the microstructures with the macro structure. The KS function is introduced to solve the repeated eigenvalue problem hidden in vibration eigenvalue optimization. The shape optimization problem subject to the volume constraint considering the microstructures is formulated as a distributed-parameter optimization problem, and the shape gradient function is derived by the Lagrange multiplier method and the adjoint variable method. The shape gradient function is applied as a distributed force to update the design boundaries of the unit cells of the microstructures by the H 1 gradient method. The smooth boundary shapes obtained by the H 1 gradient method are suitable for manufacturing with a 3D printer. In the numerical examples, the eigenvalues and the optimum shapes were compared changing the number of the domains of the microstructures in the macrostructure. As a result, the effectiveness of shape optimization method for microstructures aimed at maximizing the vibration eigenvalue of a macrostructure was confirmed.
多孔结构自振设计中的微孔形状优化
本文提出了一种周期微结构的形状优化方法,以最大化多孔宏观结构的特定振动特征值。将均匀化方法计算得到的均匀化弹性模量应用于宏观结构,将微观结构与宏观结构联系起来。引入KS函数来解决振动特征值优化中隐藏的重复特征值问题。将考虑微观结构的体积约束下的形状优化问题表述为分布参数优化问题,利用拉格朗日乘子法和伴随变量法推导出形状梯度函数。利用形状梯度函数作为分布力,采用h1梯度法更新微结构单元胞的设计边界。h1梯度法得到的光滑边界形状适合3D打印机制造。在数值算例中,通过改变微观结构在宏观结构中的畴数,比较了特征值和最优形状。验证了以最大化宏观结构振动特征值为目标的微结构形状优化方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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