拓扑优化
稳健性(进化)
拓扑(电路)
组分(热力学)
计算机科学
接头(建筑物)
工程设计过程
融合
过程(计算)
迭代和增量开发
领域(数学分析)
计算机辅助设计
数学优化
算法
数学
工程制图
有限元法
工程类
结构工程
机械工程
数学分析
生物化学
化学
物理
语言学
哲学
软件工程
组合数学
基因
操作系统
热力学
作者
Jiaqi Xu,Chuhui He,Chang Liu,Xu Guo
摘要
ABSTRACT The moving morphable component (MMC) topology optimization method has garnered increasing attention recently due to its ability to provide explicit geometric parameters of optimized structures and seamless integration with CAD systems. However, the classical MMC method may encounter instability during the iterative process due to the excessively free movement of components and geometric defects caused by the incomplete fusion of components. This article proposes a novel joint‐driven MMC (JMMC) method to address these issues. The core idea involves introducing a set of joint components to control and constrain the movement and deformation of the ordinary components. These ordinary components are interconnected through the joint components, guiding their movement and deformation within the design domain to facilitate structural layout changes, and the sizes of both ordinary and joint components can also be simultaneously optimized to alter the structural topology. Compared to the classical MMC method, the JMMC method retains the advantages of fewer design variables, explicit geometric information of structural boundaries, and seamless CAD integration while effectively mitigating iterative instability and avoiding the “dirty geometry” issues caused by incomplete component fusion. Numerical examples demonstrate the effectiveness and robustness of the proposed method.
科研通智能强力驱动
Strongly Powered by AbleSci AI