碳纳米管随机增强聚合物基复合材料的多尺度力学性能研究
[Abstract]:With the rapid development of nanotechnology, nanomaterials have a more and more extensive and far-reaching impact on the production and life style of human beings. As an outstanding representative of carbon nanocomposites, carbon nanotube composites have become one of the most active fields of contemporary scientific research, and the research on reinforced polymer matrix composites is also more in-depth. In this paper, the carbon nanotube reinforced polymer matrix composites are taken as the object of study, and a stochastic lattice method is proposed, and the multi-scale finite element model of carbon nanotubes and their composites is established by means of nano, micro and mesoscale finite element models. The effective mechanical properties of single-walled carbon nanotube reinforced polymer matrix composites were predicted and the effects of important input parameters on the effective mechanical properties of the composites were quantitatively studied. The main research contents are as follows: 1. Based on the theory of molecular structural mechanics, the C-C covalent bond of carbon nanotubes is equivalent to the space beam element, and the finite element model of carbon nanotube space structure is established by using the large-scale finite element software ANSYS. The equivalent mechanical properties of carbon nanotubes were simulated and the influence of the diameter of carbon nanotubes on their structural mechanical properties was studied. 2. The microscopic model of the interaction between carbon nanotubes and polymer matrix was established and the mechanical properties were analyzed. The (REV), REV consists of matrix, interface and carbon nanotubes. The finite element model was established, and the mechanical parameters of composites with different volume fraction of carbon nanotubes were calculated by taking into account the influence of the embedded length of carbon nanotubes. 3. The stochastic lattice finite element model was established in the meso-dimension, based on the basic idea of Monte Carlo method. Different distribution functions are used to generate random parameter groups of the mechanical properties of composite elements by using MATLAB, and the parameter groups are placed into the model grid to assign values to the lattice elements. The lattice finite element model of the sample specimen is established. 4. According to the stochastic lattice finite element model, the effective mechanical properties of the material are estimated, and compared with the results of the literature, the reliability of the conclusion is proved. The effects of different cell numbers, carbon nanotubes mass fraction and dispersion on the effective mechanical properties of composites are discussed.
【学位授予单位】:暨南大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:O341;TB33
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