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卢子璇, 何浩, 吴笛, 刘学慧. 基于虚拟纤维的各向异性超弹性材料本构模型设计[J]. 计算机辅助设计与图形学学报, 2024, 36(4): 533-542. DOI: 10.3724/SP.J.1089.2024.19776
引用本文: 卢子璇, 何浩, 吴笛, 刘学慧. 基于虚拟纤维的各向异性超弹性材料本构模型设计[J]. 计算机辅助设计与图形学学报, 2024, 36(4): 533-542. DOI: 10.3724/SP.J.1089.2024.19776
Lu Zixuan, He Hao, Wu Di, Liu Xuehui. Virtual Fiber-Based Constitute Model for Anisotropic Material Design[J]. Journal of Computer-Aided Design & Computer Graphics, 2024, 36(4): 533-542. DOI: 10.3724/SP.J.1089.2024.19776
Citation: Lu Zixuan, He Hao, Wu Di, Liu Xuehui. Virtual Fiber-Based Constitute Model for Anisotropic Material Design[J]. Journal of Computer-Aided Design & Computer Graphics, 2024, 36(4): 533-542. DOI: 10.3724/SP.J.1089.2024.19776

基于虚拟纤维的各向异性超弹性材料本构模型设计

Virtual Fiber-Based Constitute Model for Anisotropic Material Design

  • 摘要: 为了拓展图形学弹性体模拟中的各向异性超弹性虚拟材料种类,建立了基于虚拟纤维的本构模型.首先从能量可加性出发,将超弹性体应变能量密度函数分解为轴向、剪切、体积分量的纤维加和形式,然后建立单根纤维的轴向应变、剪切应变、体积应变的应变度量,最后推导出各分量的应力表示.仿真实验使用基于四面体的非线性有限元法(finite element method,FEM),半隐式时间积分进行解算,并采用CPU串行算法,测试了不同场景下非线性能量函数以及纤维权重组合对虚拟纤维材料刚度、泊松效应、轴向特性的影响.结果表明,虚拟纤维本构模型具有大变形稳定性,材料参数设置可良好地展现上述物理特性,相比现有的横观各向同性模型具有更丰富的可调节能力.

     

    Abstract: In order to expand types of anisotropic hyperelastic virtual materials for elastic bodies simulation in graphics, this paper established a virtual fiber-based constitutive model. Firstly, the strain energy density function of hyperelastic body was decomposed into fiber addition form of axial, shearing and volumetric component based on energy additivity. Secondly, strain measurement of each component for a single fiber was established. Finally, stress expression of each component was deduced. Simulation experiments used tetrahedral nonlinear finite element method (FEM), semi-implicit time integration and CPU-based serial algorithm to test effects of nonlinear energy function and fiber weight combination on the stiffness, Poisson effect and anisotropic axial characteristics in different scenarios. Results show that the virtual fiber-based model displays desirable physical properties with adopted parameter setting, and is suitable for large deformation simulation. Compared with existing transverse isotropic model, this model also possesses more abundant adjustability.

     

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