A qualitative evaluation and structural analysis of multiple and additive load cases for two-dimensional Multi-Material Topology Optimisation in Grasshopper using the Generalised SIMP method

Efstathios Damtsas, Thanh T. Banh, Michael Herrmann
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Abstract

In the physical world, it is common for Multiple Load Cases (MLC) to act on a body either simultaneously or at different points in time. While MLC has been widely addressed in the literature, it has been identified that MLC in 2D Multi-Material Topology Optimised (MMTO) examples using the Solid Isotropic Material with Penalisation (SIMP) method is understudied, with the majority of examples not evaluating their structural performance. It is also identified that there are currently no MLC-ready MMTO software tailored to Architects that can perform Finite Element Analysis (FEA). The current research investigates how MLC can be addressed within “Stag”, our newly developed MMTO plugin for Grasshopper, and how its results compare topologically to benchmark examples from the literature. Furthermore, an overlaying method (ALC) of individual load case results is compared to MLC. This study addresses the identified gap in the literature by evaluating and comparing the structural performance of Stag’s MMTO MLC and ALC results with those from the literature by performing FEA within the same platform using the Grasshopper plugin “Karamba3D”. It is found that Stag produces MMTO MLC results that have a similar topology and structural performance to the benchmark examples from the literature. While the ALC result surpasses the target volume fraction, it performs structurally better than the MLC result.

使用广义SIMP方法对二维多材料拓扑优化进行定性评价和结构分析
在物理世界中,多负载情况(MLC)同时或在不同的时间点作用于物体是很常见的。虽然MLC在文献中得到了广泛的研究,但已经确定,使用带有惩罚的固体各向同性材料(SIMP)方法的二维多材料拓扑优化(MMTO)示例中的MLC尚未得到充分研究,大多数示例没有评估其结构性能。此外,目前还没有适合架构师的MLC-ready MMTO软件,可以执行有限元分析(FEA)。目前的研究调查了MLC如何在“牡鹿”中解决,我们为Grasshopper新开发的MMTO插件,以及它的结果如何与文献中的基准示例进行拓扑比较。此外,还将单个载荷情况结果的叠加方法(ALC)与MLC进行了比较。本研究通过使用Grasshopper插件“Karamba3D”在同一平台上执行有限元分析,评估和比较了Stag的MMTO MLC和ALC结果与文献中的结构性能,从而解决了文献中发现的差距。发现牡鹿产生的MMTO MLC结果具有与文献中的基准示例相似的拓扑和结构性能。虽然ALC结果超过了目标体积分数,但其结构性能优于MLC结果。
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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