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Hybrid of topological derivative-based level set method and isogeometric analysis for structural topology optimization

机译:基于拓扑导数的水平集方法与等几何分析的混合,用于结构拓扑优化

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摘要

This paper proposes a hybrid of topological derivative-based level set method (LSM) and isogeometric analysis (IGA) for structural topology optimization. In topology optimization a significant drawback of the conventional LSM is that it cannot create new holes in the design domain. In this study, the topological derivative approach is used to create new holes in appropriate places of the design domain, and alleviate the strong dependency of the optimal topology on the initial design. Furthermore, the values of the gradient vector in Hamilton-Jacobi equation in the conventional LSM are replaced with a Delta function. In the topology optimization procedure IGA based on Non-Uniform Rational B-Spline (NURBS) functions is utilized to overcome the drawbacks in the conventional finite element method (FEM) based topology optimization approaches. Several numerical examples are provided to confirm the computational efficiency and robustness of the proposed method in comparison with derivative-based LSM and FEM.
机译:本文提出了一种基于拓扑导数的水平集方法(LSM)和等几何分析(IGA)的混合结构拓扑优化方法。在拓扑优化中,常规LSM的显着缺点是它无法在设计域中创建新的漏洞。在这项研究中,拓扑派生方法用于在设计域的适当位置创建新的孔,并减轻了最佳拓扑对初始设计的强烈依赖性。此外,将常规LSM中Hamilton-Jacobi方程中梯度向量的值替换为Delta函数。在拓扑优化过程中,基于非均匀有理B样条(NURBS)函数的IGA被用来克服基于常规有限元方法(FEM)的拓扑优化方法中的缺点。与基于导数的LSM和FEM相比,提供了几个数值示例来确认所提出方法的计算效率和鲁棒性。

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