基于准光滑流形元的多分辨率参数化水平集方法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Shanyao Deng , Weibin Wen , Pan Wang , Shengyu Duan , Jun Liang
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引用次数: 0

摘要

提出了一种结合参数水平集法(PLSM)和准光滑流形元(QSME)[1]的多分辨率拓扑优化方法。该方法具有高精度和高阶连续性,其自由度具有明确的物理意义。通过在较粗的分析网格上使用QSME进行结构分析,在较细的设计网格上使用PLSM更新设计变量,所提出的QSME- mplsm可以获得清晰、光滑的优化结构,计算效率高,结构性能可靠。结合QSME和PLSM的特点,提出了一种元素细分技术(EST)。EST可以准确地捕获元素的集成域,避免了网格细化或额外的元素节点的需要。本文给出了求解最小柔度拓扑优化问题的QSME-MPLSM的详细公式,包括灵敏度分析、设计网格生成方法和基于est的单元刚度矩阵更新方法。给出了具有代表性的二维和三维数值算例,验证了QSME-MPLSM的有效性。结果表明,该方法提高了拓扑优化的效率和精度,得到了可靠的优化结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-resolution parameterized level set method based on quasi-smooth manifold element
This paper introduces a novel multi-resolution topology optimization method that combines the parametric level set method (PLSM) and quasi-smooth manifold element (QSME) [1]. The QSME has high accuracy and high-order continuity, and its degrees of freedoms have clear physical meanings. By employing the QSME for structural analysis on a coarser analysis mesh and PLSM for updating design variables on a finer design mesh, the proposed QSME-MPLSM can obtain clear and smooth optimized structures with high computational efficiency and reliable structural performance. By integrating the features of QSME and PLSM, this paper proposes an element subdivision technique (EST). The EST can accurately capture the integration domain of element and avoids the need for mesh refinement or additional element node. This paper presents a detailed formulation of the QSME-MPLSM for minimum compliance topology optimization problems, including sensitivity analysis, a design mesh generation method, and an EST-based element stiffness matrix update method. Representative 2D and 3D numerical examples are presented to validate effectiveness of the QSME-MPLSM. The results demonstrate that this method can enhance both the efficiency and accuracy of topology optimization, and obtain reliable optimized results.
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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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