Carbon fiber reinforced composite material mechanical performance prediction method based on cross-scale simulation

Abstract

The invention belongs to the technical field of composite material prediction, and discloses a carbon fiber reinforced composite material mechanical performance prediction method based on cross-scalesimulation. The prediction method comprises the following steps: adopting a meso-finite element method, establishing a single cell prediction model of a meso-level carbon fiber composite material andpredicting the mechanical performance of the carbon fiber reinforced composite material; Based on the stiffness homogeneity method, predicting the off-axis angle and multi-angle lamination sequence and verifying the models by experiments. The invention provides a method for predicting the mechanical properties of the composite material, and the experimental results are consistent with the theoretical model.

Description

technical field [0001] The invention belongs to the technical field of performance prediction of composite materials, in particular to a method for predicting the mechanical properties of carbon fiber reinforced composite materials based on cross-scale simulation. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Carbon fiber composites are widely used in aviation, aerospace and various advanced structures because of their light weight, high strength, high modulus, strong designability, good fatigue performance, corrosion resistance and many other excellent properties. The mechanical properties of composite materials are one of the key indicators in the entire service cycle, such as the design of the laminated structure of the material, the measurement of tool quality, the optimization of process parameters, and the evaluation of service life. The macroscopic mechanical properties of carbon fiber compo...

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Problems solved by technology

[0010] (1) In terms of performance prediction focus, without considering the interaction between fibers, the longitudinal elastic modulus of single-layer carbon fiber composites can be accurately predicted by the composite material lamination theory, but for the transverse elastic modulus and shear There are still bottlenecks in the prediction of parameters such as shear modulus, and the superposition of multi-directional composite structures makes the calculation process too complicated, making it more difficult to predict the overall macroscopic mechanical properties

[0011] (2) In terms of performance prediction, most of them focus on the prediction of elastic modulus of composite materials, but rarely mention the shear modulus; in terms of finite element method modeling to predict material properties, every scholar There are great innovations in modeling methods and numerical calculations. However, most scholars have a large workload in modeling, subnetting, and calculations. Some scholars simplify the actual structure of composite materials, so that the prediction results are consistent with actual experiments. It is not accurate enough, and at the same time, in order to ensure the accuracy, some scholars conduct modeling according to the actual structure of composite materials, which is difficult to be popularized in engineering applications;

[0012] (3) In terms of performance prediction analysis, the research focus of most scholars mainly considers the influence of fiber volume content and fiber arrangement form on its overall performance, and all of them accurately predict the mechanical properties of materials, but they do not analyze composite materials. The relationship between the mechanical properties of the structure and the change of structural parameters, and the optimal configuration is obtained. The main reason is that every time the parameters are updated, it needs to go through complex processes such as remodeling, subnetting, and recalculation.

[0018] (1) The existing performance prediction methods of composite materials are too time-consuming, the calculation efficiency is not high, and the prediction accuracy of the transverse elastic modulus and shear modulus is not high. Using the mechanical properties of carbon fiber reinforced composite materials based on cross-scale simulation The prediction method can significantly improve the accuracy and calculation efficiency

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