In the cantilever plate structure, traditional topology optimization cannot achieve satisfactory results since topological material always focuses on one part while the other parts occupy no or few materials. To overcome this drawback, a bionic-based substructure division method for topology optimization was proposed in this paper. In this method, The designable region of topology optimization was divided into several substructures. The material layout of each subordinate topology design unit was formed for maximizing the total stiffness under a prescribed material usage constraint. The concept and optimization model of the bionic-based substructure division method was constructed. Then, the effectiveness of the method was verified through the example of a cantilever plate by comparison with the traditional topology optimization. Finally, an application example of a cross joint using the bionic-based substructure division method was provided and made by 3D printing technology. The research results show that the bionic-based substructure division method can enhance the guidance of topology optimization in finding reasonable material layout. By this method, the innovative configuration of a lighter cross joint is obtained. The application of this method improves the efficiency and effect of structural optimization.

在悬臂板结构中，传统拓扑优化无法获得令人满意的结果，因为拓扑材料始终集中在一个部分上，而其他部分则不占用或仅占用很少的材料。为了克服这个缺点，本文提出了一种基于仿生的子结构划分方法，用于拓扑优化。在这种方法中，拓扑优化的可设计区域被分为几个子结构。形成每个从属拓扑设计单元的材料布局，以在规定的材料使用约束下使总刚度最大化。建立了基于仿生的子结构划分方法的概念和优化模型。然后，通过与传统的拓扑优化比较，以悬臂板为例验证了该方法的有效性。最后，提供了使用基于仿生的子结构分割方法的十字接头的应用示例，并通过3D打印技术进行了制作。研究结果表明，基于仿生学的子结构划分方法可以为寻找合理的材料布局增强拓扑优化的指导。通过这种方法，获得了较轻的十字接头的创新配置。该方法的应用提高了结构优化的效率和效果。获得了较轻的十字接头的创新配置。该方法的应用提高了结构优化的效率和效果。获得了较轻的十字接头的创新配置。该方法的应用提高了结构优化的效率和效果。