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A unified stochastic framework for robust topology optimization of continuum and truss-like structures

机译:统一的随机框架,用于对连续体和类桁架结构进行可靠的拓扑优化

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摘要

In this article, a unified framework is introduced for robust structural topology optimization for 2D and 3D continuum and truss problems. The uncertain material parameters are modelled using a spatially correlated random field which is discretized using the Karhunen-Loeve expansion. The spectral stochastic finite element method is used, with a polynomial chaos expansion to propagate uncertainties in the material characteristics to the response quantities. In continuum structures, either 2D or 3D random fields are modelled across the structural domain, while representation of the material uncertainties in linear truss elements is achieved by expanding 1D random fields along the length of the elements. Several examples demonstrate the method on both 2D and 3D continuum and truss structures, showing that this common framework provides an interesting insight into robustness versus optimality for the test problems considered.
机译:本文介绍了一个统一的框架,用于针对2D和3D连续体和桁架问题进行健壮的结构拓扑优化。不确定的材料参数使用空间相关的随机场建模,该随机场使用Karhunen-Loeve展开离散化。使用频谱随机有限元方法,通过多项式混沌扩展将材料特性的不确定性传播到响应量。在连续体结构中,跨结构域对2D或3D随机场建模,而线性桁架单元中材料不确定性的表示是通过沿单元长度扩展一维随机场来实现的。几个示例在2D和3D连续体和桁架结构上演示了该方法,表明此通用框架提供了对所考虑的测试问题的鲁棒性与最优性的有趣理解。

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