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Topology optimization of shell-infill structures using an erosion-based interface identification method

机译:基于腐蚀的界面识别方法对壳填充结构的拓扑优化

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Topology optimization of shell-infill structures has been a hot topic in the optimization community. The crucial issue of such design problem is how to accurately describe the material interfaces, which is often regarded as a relatively difficult problem in density-based topology optimization. This paper presents an erosion-based interface identification method to handle this difficulty by defining the different parts of the original and eroded structures as interfaces. The theoretical relation for determining the erosion parameters is derived to control the interface thickness accurately. It turns out that the erosion-based method offers excellent performance even for the extreme cases where the ratios of member sizes to a prescribed thickness are small, and at the same time, it is easy to implement since we only need to consider the frequently-used filtering and projection processes in the applied erosion operation. Then, we provide an improved SIMP-based topology optimization method for shell-infill structures based on the new idea of defining interfaces. In this paper, a tweak to the existing two-step filtering/projection process is made to separate the shell and infill, and a corresponding interpolation function is developed to model the whole composite objects. Enhanced by the worst-case based robust formulation, the minimum length scale of optimized structures can be controlled. Several 2D and 3D compliance optimization examples are provided to illustrate the effectiveness of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.
机译:壳填充结构的拓扑优化一直是优化社区中的热门话题。这种设计问题的关键问题是如何准确地描述材料界面,这在基于密度的拓扑优化中通常被认为是一个相对困难的问题。本文提出了一种基于腐蚀的界面识别方法,通过将原始结构和侵蚀结构的不同部分定义为界面来解决此难题。推导了确定腐蚀参数的理论关系,以精确地控制界面厚度。事实证明,即使在极端情况下,基于腐蚀的方法也能提供出色的性能,因为在极端情况下,构件尺寸与规定厚度的比值很小,同时,由于我们只需要经常考虑以下因素,因此易于实施:在侵蚀操作中使用了过滤和投影过程。然后,基于定义接口的新思想,为壳填充结构提供了一种改进的基于SIMP的拓扑优化方法。在本文中,对现有的两步过滤/投影过程进行了调整,以分离壳和填充物,并开发了相应的插值函数来对整个复合对象进行建模。通过基于最坏情况的鲁棒公式进行增强,可以控制优化结构的最小长度范围。提供了几个2D和3D依从性优化示例,以说明所提出方法的有效性。 (C)2019 Elsevier B.V.保留所有权利。

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