基于随机顺序吸附法的C_(sf)/Mg周期性体胞模型的建立及其应用

Establishment and Application of a C_(sf)/Mg Composite Periodic Volume Cell Model on the Basis of the RSA Algorithm

采用随机顺序吸附法建立了Csf/Mg复合材料周期性体胞模型,对Csf/Mg复合材料的拉伸性能进行了有限元模拟。对比拉伸试验结果,验证了该周期性体胞模型的有效性。模拟结果显示:随着Csf/Mg复合材料中纤维体积分数的提高,其拉伸性能不断提高,弹性模量、屈服强度和抗拉强度均随之增加;平行于外载方向的纤维承载了最大的应力,而与外载方向约呈60°角的纤维承受的应力最小;平行于外载方向的纤维,其端面附近的基体也承受了较大应力;在拉伸变形的过程中,基体的塑性变形由纤维附近区域向基体其他区域扩展。

A Csf/Mg composites periodic volume cell model was established using the random sequential adsorption （RSA） algorithm Based on the established model, the tensile properties of Csf/Mg composites were simulated by FEM. The simulated results were compared with the experimental results, and the effectiveness of this model was verified. The results show that with the fiber volume fraction increasing, the tensile properties of Csf/Mg composites are increased, such as elastic modulus, yield strength and tensile strength. The fibers parallel to the direction of the applied load bear the most stress, while the ones at an angle of about 60° to the direction of the applied load bear the least. The stress in the matrix is higher in the local where the reinforcements are compact along the direction of the applied stress. During the process of tensile deformation, plastic deformation of the matrix expands from the vicinity of the fibers to other regions of the matrix.