张洪武

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:德国汉诺威大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 计算力学. 生物与纳米力学

电子邮箱:zhanghw@dlut.edu.cn

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Topology optimization of adaptive fluid-actuated cellular structures with arbitrary polygonal motor cells

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论文类型:期刊论文

发表时间:2016-05-01

发表刊物:SMART MATERIALS AND STRUCTURES

收录刊物:SCIE、EI

卷号:25

期号:5

ISSN号:0964-1726

关键字:fluid-actuated cellular structures; adaptive materials; multiscale finite element method; polygonal motor cells; topology optimization

摘要:This paper mainly focuses on the fast and efficient design method for plant bioinspired fluidic cellular materials and structures composed of polygonal motor cells. Here we developed a novel structural optimization method with arbitrary polygonal coarse-grid elements based on multiscale finite element frameworks. The fluidic cellular structures are meshed with irregular polygonal coarse-grid elements according to their natural size and the shape of the imbedded motor cells. The multiscale base functions of solid displacement and hydraulic pressure are then constructed to bring the small-scale information of the irregular motor cells to the large-scale simulations on the polygonal coarse-grid elements. On this basis, a new topology optimization method based on the resulting polygonal coarse-grid elements is proposed to determine the optimal distributions or number of motor cells in the smart cellular structures. Three types of optimization problems are solved according to the usages of the fluidic cellular structures. Firstly, the proposed optimization method is utilized to minimize the system compliance of the load-bearing fluidic cellular structures. Second, the method is further extended to design biomimetic compliant actuators of the fluidic cellular materials due to the fact that non-uniform volume expansions of fluid in the cells can induce elastic action. Third, the optimization problem focuses on the weight minimization of the cellular structure under the constraints for the compliance of the whole system. Several representative examples are investigated to validate the effectiveness of the proposed polygon-based topology optimization method of the smart materials.