基于四阶反应扩散的等几何拓扑优化水平集方法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
He Li, Jianhu Shen, Xuyu Zhang, Shiwei Zhou
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引用次数: 0

摘要

为了有效控制最小平均柔度优化问题中的曲率变化,提出了一种四阶反应扩散等几何优化方法。利用等几何分析和k-精化技术,更新了使用非均匀合理b样条(NURBS)参数化的水平集函数,在保持计算稳定性的同时精确地表示复杂的几何形状,以获得具有高阶连续性的光滑几何形状。弹性方程也采用等几何分析求解,既保留了精确的几何表示,又消除了与有限元分析相关的近似误差。数值算例表明,与传统的二阶反应扩散方法相比,该方法在显著缩短的计算时间内生成了更尖锐、无角的复杂结构。例如,所提出的方法仅在13次迭代中就能在40%的体积限制下产生2D四分之一环空。同时,它只需要20次迭代就可以在任意形状的设计域中生成优雅的3D蛇形结构。该方法具有效率高、精度好、连续性强等特点,具有广泛的工程应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fourth-order reaction diffusion-based level set method for isogeometric topology optimization
This study presents a fourth-order reaction-diffusion isogeometric optimization method to effectively control curvature variations in minimum mean compliance optimization problems. Using isogeometric analysis with k-refinement technique, the level set function—parameterized using Non-Uniform Rational B-Splines (NURBS) to represent complex geometries while maintaining computational stability accurately—is updated to achieve smoother geometries with higher-order continuity. The elasticity equation is also solved using isogeometric analysis, which preserves precise geometric representation and eliminates the approximation errors associated with finite element analysis. Numerical examples show that the proposed method generates sharper, corner-free complex structures in significantly less computational time than traditional second-order reaction-diffusion methods. For instance, the proposed method produces a 2D quarter annulus under a 40 % volume constraint in just 13 iterations. At the same time, it only needs 20 iterations to yield an elegant 3D serpentine structure in an arbitrarily shaped design domain. The method demonstrates high efficiency, superior accuracy, and enhanced continuity, indicating its potential for various engineering applications.
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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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