Transverse microstructure generation method of unidirectional long fiber reinforced composite

Abstract

The invention provides a transverse microstructure generation method of a unidirectional long fiber reinforced composite material. In the target area where the RVE model needs to be generated, the initial parameters of the RVE model are determined, the regularly distributed fiber position is taken as the initial fiber position, combined with the intersection algorithm between adjacent rows or columns, under the condition that the periodicity of the fiber at the boundary is ensured, a random perturbation method is utilized to generate the RVE with periodic repetitive fiber random distribution.Based on the obtained random fiber position coordinates, the initial position of the micro-pores is determined, and the size and shape of the pores are determined randomly. Finally, the transverse microscopic model of the composites considering the random distribution of the fiber and the micro-pores is established by random perturbation of the position of the pores. The invention considers the reconstruction technology of the transverse microstructure of the unidirectional long fiber composite material, adopts the random perturbation method for the random distribution of the fibers and the pores, and can effectively and efficiently establish the transverse RVE model considering the random distribution of the fibers and the pores.

Description

technical field [0001] The invention relates to a composite material, in particular to a method for generating a lateral microstructure of the composite material. Background technique [0002] Due to the advantages of high specific strength, high specific rigidity, and strong design, composite laminates are now widely used in aerospace, automobile, civil engineering and other industries. Since unidirectional composite panels are part of laminated panels, the deformation and damage assessment of unidirectional long fiber composite structures under external loads has become a research focus in the field of composite materials. [0003] The transverse mechanical properties of composite materials are the weakest direction in the overall performance of materials. Using numerical analysis methods to predict the transverse properties of composite materials can reduce the number of tests and save costs. It is used to analyze different factors, such as the internal structure of mater...

AI Technical Summary

Problems solved by technology

However, during the material manufacturing process, the random distribution of fibers and the existence of pores will result. Most of the existing transverse microstructures only consider the random distribution of fibers and do not consider the existence of pores.

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