使用连续邻接法对有限应变非局部损伤模型进行拓扑优化

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

摘要

本研究提出了一种拓扑优化与有限应变非局部损伤模型的统一表述方法,使用的是连续积分法。对于描述包括劣化在内的材料响应的基元问题,我们考虑了标准的新胡克构成模型,并在有限应变框架内纳入了脆性断裂的裂纹相场理论。对于优化问题,通过对每个子函数进行加权,设定目标函数以适应多个目标,并采用连续邻接法推导灵敏度。因此,原始问题和邻接问题的控制方程都被写成强形式,并且在连续体或其边界上的任何时刻和任何位置都成立。因此,所提出的公式与数值实现的要求(如元素类型或离散化方法)无关。此外,反应扩散方程用于在优化过程中更新设计变量,从而实现设计变量和材料属性的连续分布。在通过一个简单的数值设置演示了所提公式的基本性能后,介绍了双材料(矩阵和包含材料)和单材料(材料和空值)拓扑优化,并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topology optimization with a finite strain nonlocal damage model using the continuous adjoint method

This study presents a unified formulation of topology optimization with a finite strain nonlocal damage model using the continuous adjoint method. For the primal problem to describe the material response including deterioration, we consider the standard Neo–Hookean constitutive model and incorporate crack phase-field theory for brittle fracture within the finite strain framework. For the optimization problem, the objective function is set to accommodate multiple objectives by weighting each sub-function, and the continuous adjoint method is employed to derive the sensitivity. Thus, both the governing equations for primal and adjoint problems are written as strong forms and hold at any moment and at any location in the continuum body or on its boundary. Accordingly, the proposed formulation is independent of the requirements from numerical implementation, such as element type or discretization method. In addition, the reaction–diffusion equation is used to update the design variable in an optimizing process, by which the continuous distribution of the design variable, as well as material properties, are realized. After the basic performance of the proposed formulation is demonstrated with a simple numerical setup, two-material (matrix and inclusion materials) and single-material (material and null) topology optimizations are presented, and discussions are made.

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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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