多项式混沌
拓扑优化
离散化
随机变量
背景(考古学)
拓扑(电路)
随机优化
数学
多项式的
随机场
材料性能
应用数学
数学优化
统计物理学
有限元法
数学分析
材料科学
蒙特卡罗方法
物理
结构工程
工程类
古生物学
复合材料
组合数学
统计
生物
作者
Xiaopeng Zhang,Jingjie He,Akihiro Takezawa,Zhan Kang
摘要
Summary The uncertain spatial variation of material properties can remarkably affect the band gap characteristics of phononic crystals (PnCs). It is necessary to consider this issue when designing and manufacturing PnC materials/structures. This paper investigates a robust topology optimization method for designing the microstructures of PnCs by considering random‐field material properties. Herein, the spatial distribution of the material properties is first represented by a random field and then discretized into uncorrelated stochastic variables with the expansion optimal linear estimation method; stochastic band gap analysis is then conducted with polynomial chaos expansion. Furthermore, a robust topology optimization formulation of PnCs is proposed on the basis of the relative elemental density, where a weighted objective function handles the compromise of the mean value and standard deviation of the PnC band gap. The band gap response is analyzed, employing the finite element method for each sample of polynomial chaos expansion. In this context, the sensitivities of the stochastic band gap behaviors to the design variables are also derived. Numerical examples demonstrate that the proposed method can generate meaningful optimal topologies of PnCs with a relatively large width and less sensitive band gap. Additionally, the effects of the weight factors in the objective function and the variation coefficient of material properties are discussed.
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