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A New Tool for Topology Optimization With Gradient-Guided Spectral Level Set Methodology

机译:梯度引导光谱能级集方法的拓扑优化新工具

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In this work we describe and evaluate a new software tool with GUI for structural topology optimization which uses the spectral level set methodology and that can be easily integrated into a multidisciplinary design environment. The spectral level set methodology is a tool to formulate topology optimization problems. Its main advantage is the reduction of the design space dimension under the assumption of a sufficiently smooth interface of interest. This translates into a more efficient way to solve structural topology optimization problems, thus increasing the overall performance of the multidisciplinary optimization strategy. In this paper, we give particular emphasis to known results from functional analysis, in particular the coarea forrmula, and their contribution to the development of the sensitivity analysis of the proposed methodology. We then consider and evaluate strategies to implement the gradients of the functionals involved in the statement of the optimization problem. The proposed approach is integrated into a Windows-based GUI which displays the evolution of the boundary of interest and the final design. This new software tool is then evaluated with a simple topology optimization example with known analytic solution.
机译:在这项工作中,我们描述和评估了一种新的带有GUI的软件工具,用于进行结构拓扑优化,该工具使用频谱级别集方法,可以轻松地集成到多学科设计环境中。频谱水平集方法学是制定拓扑优化问题的工具。它的主要优点是在假设感兴趣的界面足够平滑的情况下减小了设计空间尺寸。这转化为解决结构拓扑优化问题的更有效方法,从而提高了多学科优化策略的整体性能。在本文中,我们特别强调功能分析的已知结果,尤其是剖腹产,以及它们对所提出方法的敏感性分析的发展所做出的贡献。然后,我们考虑并评估实现优化问题陈述中所涉及功能梯度的策略。所提出的方法已集成到基于Windows的GUI中,该GUI显示了关注边界的演变和最终设计。然后,使用带有已知分析解决方案的简单拓扑优化示例对这个新的软件工具进行评估。

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