Predication method for macroscopic effective properties of composite material with randomly distributed particles

A composite material, random distribution technology, used in particle and sedimentation analysis, particle size analysis, measuring devices, etc., can solve problems such as distortion of homogenization calculation results, and achieve the effect of eliminating particle overlap

Active Publication Date: 2014-02-26
XIDIAN UNIV
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Problems solved by technology

[0006] Based on the shortcomings of the traditional homogenization method, the present invention is aimed at a particle reinforced composite material, focusing on solving the problem that the particles overlap when the particle volume frac

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  • Predication method for macroscopic effective properties of composite material with randomly distributed particles
  • Predication method for macroscopic effective properties of composite material with randomly distributed particles
  • Predication method for macroscopic effective properties of composite material with randomly distributed particles

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Embodiment Construction

[0077] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. Such as figure 1 Shown, the present invention has 5 main processes altogether:

[0078] 1. Construct a random RVE numerical model

[0079] For a two-dimensional two-phase composite material composed of particles and matrix, the traditional homogenization method usually assumes that the particles are periodically distributed inside the RVE, thus further simplifying the periodic microstructure into a single-particle RVE, such as figure 2 shown. Although this simplified method greatly reduces the difficulty of calculation, it ignores the objective randomness of particle distribution.

[0080] If the RSA method is used, the RVE with random distribution of particles can be generated, and the flow chart is as follows image 3 shown. The core idea and operation process of the traditional RSA method: generate particle inclusions one by one in th...

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Abstract

The invention discloses a predication method for macroscopic effective properties of a composite material with randomly distributed particles. The predication method comprises the following steps: (1) constructing a representative volume element RVE numerical model of the composite material with the randomly distributed particles by adding an RSAmethod based on a random sequence through using an MATLAB (Matrix Laboratory); (2) eliminating a particle overlapping phenomenon when the volume fraction of the particles is high, aiming at the RVE numerical model of the composite material generated by the traditional RSA method; (3) carrying out finite element analysis calculation on the RVE numerical model of the composite material with the randomly distributed particles to obtain a numerical solution of effective properties of the RVE numerical model; and (4) establishing a random homogenization module to solve the macroscopic effective properties of the composite material and taking the macroscopic effective properties of the composite material as real effective properties. The predication method provides a reliable predication result of the macroscopic effective properties of the composite material, thus providing sufficient evidences for the application of novel advanced materials and optimal designs of structures.

Description

technical field [0001] The invention relates to the mesoscopic mechanics of composite materials, and specifically aims at constructing a numerical model to characterize a composite material with randomly distributed particles and to predict its macroscopic effective properties. Background technique [0002] The so-called composite material refers to a composite body composed of different materials or the same material in different states. Usually, there are many phases in a composite material (phase: refers to the different components of the material. For example, concrete can be considered as a two-phase material: one phase is cement, called matrix; the other phase is sand, called inclusions). The matrix phase is generally continuous and occupies a relatively large volume of the material; while other phases are discrete, distributed in the matrix material, and occupy a small volume fraction. The physical properties of composite materials change throughout the entire micros...

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Application Information

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IPC IPC(8): G01N15/02
Inventor 周朋马娟王芳林徐亚兰马洪波
Owner XIDIAN UNIV
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