优化围动力拓扑结构,提高结构的抗断裂能力

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Francisco S. Vieira, Aurélio L. Araújo
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引用次数: 0

摘要

在这项工作中,我们提出了一种新颖的周动态拓扑优化方案,以提高抗断裂性。周向动力学的主要优势在于可以直接预测裂纹扩展,这是周向动力学数值模拟的自然组成部分。这一特性可以在拓扑优化框架中加以利用,以获得抗断裂设计。因此,我们利用基于粘结的周动态计算方法,制定了一个基于无网格密度的非局部拓扑优化框架。正如本文所展示的那样,基于顺应性的经典解决方案在抗断裂性方面远未达到最佳效果,而使用所提出的方案进行设计,可以提供抗断裂解决方案,同时仅略微降低结构刚度。本文介绍了所提出的方案,以及敏感性分析的所有细节和实施过程中的其他数值方面。此外,还介绍了所使用的围动力材料模型及其数值实现。数值示例证明了计算敏感性的准确性,并说明了所提出公式的影响和有效性。对优化参数进行了深入研究,并进行了各种优化收敛研究,以获得稳定的优化过程。所有结果都与经典的顺应性最小化设计进行了比较,以说明拟议框架的优势和能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Peridynamic topology optimization to improve fracture resistance of structures
In this work we propose a novel peridynamic topology optimization formulation to improve fracture resistance. The main strength of peridynamics is based on the straightforwardness in which crack propagation can be predicted, as a natural part of a peridynamic numerical simulation. This property can be leveraged in a topology optimization framework, in order to obtain fracture resistance designs. Hence, we formulate a meshfree density-based nonlocal topology optimization framework using a bond-based peridynamic formulation. As it is demonstrated in this paper, the classical compliance based solutions are far from optimal in terms of fracture resistance and the designs obtained with the proposed formulation can provide fracture resistant solutions while only reducing slightly the structural stiffness. The proposed formulation is presented along with all the details of the sensitivity analysis and additional numerical aspects of the implementation. Moreover, the peridynamic material model used is presented along with its numerical implementation. Numerical examples demonstrate the accuracy of the computed sensitivities and illustrate the impact and effectiveness of the presented formulation. A thorough study of the optimization parameters is presented and various optimization convergence studies are taken in order to obtain a stable optimization process. All the results are compared to classical compliance minimization designs to illustrate the advantages and capabilities of the proposed framework.
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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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