拓扑优化
数学优化
组分(热力学)
拓扑(电路)
各向同性
集合(抽象数据类型)
计算机科学
最优化问题
自由度(物理和化学)
领域(数学分析)
功能(生物学)
水平集方法
数学
领域(数学)
有限元法
工程类
结构工程
人工智能
数学分析
分割
组合数学
生物
进化生物学
热力学
量子力学
图像分割
程序设计语言
纯数学
物理
作者
Weisheng Zhang,Junfu Song,Jianhua Zhou,Zongliang Du,Yichao Zhu,Zhi Sun,Xu Guo
摘要
Summary With the fast development of additive manufacturing technology, topology optimization involving multiple materials has received ever increasing attention. Traditionally, this kind of optimization problem is solved within the implicit solution framework by using the Solid Isotropic Material with Penalization or level set method. This treatment, however, will inevitably lead to a large number of design variables especially when many types of materials are involved and 3‐dimensional (3D) problems are considered. This is because for each type of material, a corresponding density field/level function defined on the entire design domain must be introduced to describe its distribution. In the present paper, a novel approach for topology optimization with multiple materials is established based on the Moving Morphable Component framework. With use of this approach, topology optimization problems with multiple materials can be solved with much less numbers of design variables and degrees of freedom. Numerical examples provided demonstrate the effectiveness of the proposed approach.
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