Isogeometric topology optimization of thin-walled structures with complex design domains

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Ji Sheng, Xiaodong Wei
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引用次数: 0

Abstract

In this work, we present a novel isogeometric topology optimization (TO) method for shell structures that involve complex design domains. In particular, analysis-suitable unstructured T-splines (ASUTS) are used to represent complex design domains in a smooth and watertight manner. On top of such domains, minimum compliance is studied as the model problem, where the Kirchhoff–Love shell is used to compute the structural response and a generalized Cahn–Hilliard phase-field model is proposed to perform TO. Since both models are governed by high-order partial differential equations, ASUTS-based isogeometric analysis (IGA) is adopted for the spatial discretization due to its high-order smooth basis functions. Moreover, IGA provides the possibility to seamlessly integrate design, analysis, and optimization. To demonstrate the efficacy of the proposed method, we first perform several benchmark tests to show that the generalized Cahn–Hilliard model can naturally handle complex topological changes without special treatment. In the end, a couple of real-world engineering structures are studied to show the capability of the proposed method dealing with complex design domains.
具有复杂设计域的薄壁结构等几何拓扑优化
在这项工作中,我们提出了一种新的等几何拓扑优化(TO)方法,用于涉及复杂设计域的壳结构。特别是,适合分析的非结构化t样条(ASUTS)用于以光滑和不漏水的方式表示复杂的设计域。在此基础上,将最小柔度问题作为模型问题进行研究,采用Kirchhoff-Love壳计算结构响应,并提出广义Cahn-Hilliard相场模型求解结构响应。由于两种模型均由高阶偏微分方程控制,因此采用基于asuts的等高阶平滑基函数的等高几何分析(IGA)进行空间离散化。此外,IGA还提供了无缝集成设计、分析和优化的可能性。为了证明该方法的有效性,我们首先进行了几个基准测试,以证明广义Cahn-Hilliard模型可以自然地处理复杂的拓扑变化而无需特殊处理。最后,对几个实际工程结构进行了研究,以证明所提出的方法处理复杂设计域的能力。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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