杂化复合材料细观结构建模与力学性能仿真
Mesoscopic Structure Modeling and Mechanical Property Simulation of Hybrid Composites
摘要: 虽然纤维增强复合材料以其具有良好的强度与刚度等特性广泛应用于许多领域，然而其韧性差，易出现裂纹等缺点使得杂化纤维材料在许多领域大量使用。但由于杂化纤维材料的强度和刚度的变化与多种变量有关，力学性能测量较为复杂，且测量成本较高。本文针对碳纤维/玻璃纤维杂化复合材料的力学性能研究，提出一种新的将随机顺序扩展算法与硬核模型算法相结合的方法生成随机性模型，研究了总体积分数和大小径纤维数量比两个参数对材料力学性能的影响。研究结果表明，纤维的总体积分数与材料轴向弹性模量呈正相关，而相互垂直方向上的纤维对力学参数的抵抗作用和排列方式有关；小径纤维数量与材料的轴向力学性能呈正相关，大径纤维数量与材料的剪切性能呈正相关。最后对模型的可靠性进行分析，进一步验证了本文提出的新算法的可靠性。
Abstract: Although fiber reinforced composites are widely used in many fields because of their good strength and stiffness, their poor toughness and easy crack make hybrid fiber materials widely used in many fields. However, because the strength and stiffness of hybrid fiber materials are related to many variables, the measurement of mechanical properties is more complicated and the measurement cost is high. In order to study the mechanical properties of carbon fiber/glass fiber hybrid composites, a new stochastic model is generated by combining the stochastic sequential extension algorithm with the core model algorithm. The effects of the total integral number and the number ratio of large and small fiber on the mechanical properties of the composite are studied. The results show that the total integral number of the fiber is positively correlated with the axial elastic modulus of the material, while the resistance of the fiber to the mechanical parameters in the vertical direction is related to the arrangement of the fiber. The number of small diameter fibers is positively correlated with the axial mechanical properties of the material, and the number of large diameter fibers is positively correlated with the shear properties of the material. Finally, the reliability of the model is analyzed, and the reliability of the new algorithm is further verified.
文章引用：郭京航, 董思远, 黄元辰. 杂化复合材料细观结构建模与力学性能仿真[J]. 建模与仿真, 2025, 14(6): 1-10. https://doi.org/10.12677/mos.2025.146470

参考文献

[1] 李靖滨, 武献鹏, 罗文华, 等. 钢纤维/玻璃纤维增强橡胶混凝土动态劈裂拉伸性能研究[J]. 建筑结构, 2025, 55(5): 55-61+15.
[2] 李方, 丁雨秋, 金伟. 碳纤维复合材料抗侧滚扭杆一体化结构设计及性能分析[J]. 复合材料科学与工程, 2024(S1): 18-22.
[3] 韩威, 周可. 碳纳米管水泥基纤维增强复合材料压敏性能研究[J]. 江西建材, 2023(12): 31-33.
[4] 李星, 吴昊, 袁梦琦. 碳凯夫拉纤维层内混杂复合材料低速冲击性能[J]. 清华大学学报(自然科学版), 2025(6): 1060-1069.
[5] Jiang, H., Liu, X., Jiang, S. and Ren, Y. (2023) Hybrid Effects and Interactive Failure Mechanisms of Hybrid Fiber Composites under Flexural Loading: Carbon/Kevlar, Carbon/Glass, Carbon/Glass/Kevlar. Aerospace Science and Technology, 133, Article ID: 108105. [Google Scholar] [CrossRef] 
[6] Negawo, T.A., Polat, Y., Akgul, Y., Kilic, A. and Jawaid, M. (2021) Mechanical and Dynamic Mechanical Thermal Properties of Ensete Fiber/Woven Glass Fiber Fabric Hybrid Composites. Composite Structures, 259, Article ID: 113221. [Google Scholar] [CrossRef] 
[7] Chen, M., Zhu, J. and Ke, L. (2024) Load Transfer Characteristics in Biocomposites Reinforced by Periodically Graded Cellulose Microfibrils. Composite Structures, 345, Article ID: 118404. [Google Scholar] [CrossRef] 
[8] Buryachenko, V.A., Pagano, N.J., Kim, R.Y. and Spowart, J.E. (2003) Quantitative Description and Numerical Simulation of Random Microstructures of Composites and Their Effective Elastic Moduli. International Journal of Solids and Structures, 40, 47-72. [Google Scholar] [CrossRef] 
[9] Wang, Z., Wang, X., Zhang, J., Liang, W. and Zhou, L. (2011) Automatic Generation of Random Distribution of Fibers in Long-Fiber-Reinforced Composites and Mesomechanical Simulation. Materials & Design, 32, 885-891. [Google Scholar] [CrossRef] 
[10] Kaddour, A., Hinton, M., Smith, P. and Li, S. (2013) Mechanical Properties and Details of Composite Laminates for the Test Cases Used in the Third World-Wide Failure Exercise. Journal of Composite Materials, 47, 2427-2442. [Google Scholar] [CrossRef] 
[11] Trias, D., Costa, J., Mayugo, J.A. and Hurtado, J.E. (2006) Random Models versus Periodic Models for Fibre Reinforced Composites. Computational Materials Science, 38, 316-324. [Google Scholar] [CrossRef] 

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