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Method for generating random structure of continuous fiber composite material and predicting elastic performance of continuous fiber composite material

A composite material and elastic performance technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of difficulty in ensuring the randomness of high volume fraction fiber distribution, and avoid complex disturbance rules and a large number of disturbance cycles. , Improve the effect of randomness and strong engineering applicability

Active Publication Date: 2017-06-09
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The random disturbance method based on the initial periodic distribution often achieves the volume fraction requirement through the initial periodic distribution of fibers, and then performs post-disturbance, but this method is difficult to ensure the randomness of high volume fraction fiber distribution

Method used

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  • Method for generating random structure of continuous fiber composite material and predicting elastic performance of continuous fiber composite material
  • Method for generating random structure of continuous fiber composite material and predicting elastic performance of continuous fiber composite material
  • Method for generating random structure of continuous fiber composite material and predicting elastic performance of continuous fiber composite material

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Experimental program
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Embodiment Construction

[0039] likefigure 1 As shown, this embodiment includes the following steps:

[0040] Step 1. Fiber generation at random positions within the RVE range: Determine the input parameters required for generating randomly distributed fibers, including fiber radius r, volume fraction V f , the minimum distance l of the fiber boundary min , the maximum distance l of the fiber boundary max , the largest algebra G max . In the square area of ​​the RVE size range, a point at a random position is first generated as the center of the first fiber, and a circle representing the fiber cross-section is given after the radius is assigned.

[0041] On the basis of generating the first random position fiber, new fibers are sequentially generated based on the particle swarm optimization algorithm. The center position of the new fiber is obtained by:

[0042] When M points have been generated, and there are N particles in each generation of the particle swarm algorithm, then for the i-th parti...

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Abstract

The invention provides a method for generating a random structure of a continuous fiber composite material and predicting the elastic performance of the continuous fiber composite material. The method comprises the following steps: generating a fiber model by a particle swarm algorithm, and optimizing the fiber model according to fiber jumping treatment to obtain particle space random distribution information for generating a three-phase RVE finite element model; and performing finite element simulation operation on the three-phase RVE finite element model to obtain a prediction result. Based on a representative volume element generation strategy of the particle swarm algorithm, the distance among fibers is controlled by the particle swarm algorithm in the process of generating the representative volume element, the requirement for the material volume percentage is fulfilled while fiber random distribution is ensured; and based on efficient generation of the representative volume unit and a homogenization theory, an elasticity prediction finite element model is established, a periodic boundary condition is applied, and the elasticity performance prediction result of the material can be obtained by microscomic finite element simulation, so that the efficiency of elasticity performance prediction is improved.

Description

technical field [0001] The invention relates to a technology in the field of new material manufacturing, in particular to a method for generating a random structure of a long-fiber composite material based on a particle swarm optimization algorithm and a method for predicting its elastic properties. Background technique [0002] Fiber-reinforced composite materials have the advantages of high specific stiffness, high specific strength, light weight, and fatigue resistance, and have been widely used in fields such as aviation and automobile industries. Fast and accurate analysis of mechanical properties of fiber-reinforced composites is the basis for material applications. In view of the shortcomings of traditional experimental-based mechanical properties analysis methods, such as high cost and long period, in recent years, the meso-mechanical analysis of composite materials based on simulation is an important direction for the mechanical properties analysis and structural de...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 刘钊朱平朱超
Owner SHANGHAI JIAO TONG UNIV
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