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Method and system for constructing mesoscopic model for performance prediction of composite materials

A technology for performance prediction and composite materials, applied in special data processing applications, instruments, design optimization/simulation, etc., can solve problems such as reduced modeling efficiency, contact definition, troublesome post-processing of expansion calculation, unevenness, etc.

Active Publication Date: 2022-06-17
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Since the upper surface of the accumulation body obtained by this method is not flat, it needs to be cut again; in addition, in order to control the gap between particles, it is necessary to divide the surface of the particles into shell units first, and then divide them into solid units again after the particles fall. , and delete the shell element; moreover, when the particles intersect with the model boundary, it is difficult to handle the drop
[0006] The patent document with the application number 201710570950.1 discloses a modeling method for a high-density discrete particle multiphase system based on the principle of expansion. However, the following problems still exist when using this method for modeling: (1) When obtaining the particle compaction model , although eligible random points can be easily generated, but at the same time, due to the reduction of particles, the placement space increases, and because it is too easy to generate qualified random points, resulting in uneven distribution of compressed particles, some particles are close to each other. close, some particles are far away
(2) In the subsequent expansion process, if the particles are divided into solid units, those particles that are close to each other will have direct contact. Each particle is covered with a certain thickness of mortar layer, and the particles are not in direct contact); on the other hand, such direct contact polygonal or polyhedral particles will form a large number of angles with each other, and the contact points will form singular points. , these included angles and singular points will bring serious difficulties to the subsequent matrix meshing
However, when hollow particles formed by surface shell elements intersect with the boundary, the intersecting surface also needs to be divided into shell elements. Since the shell element must have a certain thickness, it is bound to produce an initial penetration with the boundary of the modeling space, so that the contact Definition, dilation calculation and subsequent processing cause trouble
Furthermore, these hollow particles formed by surface shell elements often shrink in volume due to mutual extrusion during the expansion process, so that the final particle model no longer conforms to the predetermined gradation
In addition, these particles still need to be divided into solid elements and delete shell elements in order to be applied in subsequent performance analysis, thereby reducing modeling efficiency

Method used

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  • Method and system for constructing mesoscopic model for performance prediction of composite materials
  • Method and system for constructing mesoscopic model for performance prediction of composite materials
  • Method and system for constructing mesoscopic model for performance prediction of composite materials

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Embodiment 1

[0062] This embodiment 1 proposes a construction system for a mesoscopic model for performance prediction of composite materials, including: a determination module for determining the model space and boundaries; a calculation module for calculating particles in each size range according to a predetermined gradation The first model compression module is used to reduce the size of the particles located in the model space, and randomly obtain the compressed model of the particles in the size range that conforms to the predetermined gradation; the particles that intersect the boundary are generated according to the original size, not Generate a compressed model, and only keep the part in the model space; the expansion module is used to expand the area of ​​the compressed model of each particle to obtain the expansion model of the compressed model of each particle; the second compression module is used to expand the expansion model of each particle. Area shrinkage is performed so th...

Embodiment 2

[0079] In Embodiment 2 of the present invention, taking a two-dimensional model as an example, an efficient modeling method for a high-density particle reinforced composite material is introduced and explained, and the method includes the following steps:

[0080] (1) Determine the boundary of the model space;

[0081] (2) Calculate the area sum of the particles in each size range according to the predetermined gradation and according to the formulas such as Wallaven, that is, determine the area sum S of the particles in the size range i to j (i~j) ;

[0082] (3) If the particle is located in the interior of the model space, reduce the size of the particle by α times (α(i~j) ×β, to ensure that there is no interference between particles, the compact model of each particle in the size range i to j can be obtained;

[0083] (4) If the particle intersects the boundary of the model space, the size of the randomly obtained particle model is in the range of i~j, and only the part in...

Embodiment 3

[0111] Embodiment 3 of the present invention provides a two-dimensional efficient modeling method for high-density particle-reinforced composite materials, comprising the following steps:

[0112] (1) Determine the boundary of the model space, such as figure 1 The model shown, 1 is the model boundary;

[0113] (2) According to the predetermined gradation, a compact model of the particles is generated, such as figure 1 Medium 2 is the particle compaction model, and the compacted particle size is 0.8 times its original size, that is, α=0.8;

[0114] (3) Divide the particles into two-dimensional solid units and assign them thermal elastic-plastic material properties;

[0115] (4) Divide the boundary of the model into two-dimensional solid elements and give them rigid material properties;

[0116] (5) Define the contact mode between particles and particles and between particles and boundaries as surface-surface contact mode;

[0117] (6) In the model space established in step ...

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Abstract

The invention provides a method and system for constructing a mesoscopic model for composite material performance prediction, which belongs to the technical field of material performance detection. For particles located inside the model space, the size is reduced, and the size range that meets the predetermined gradation is randomly obtained. The compact model of the particles; the particles intersecting the boundary are generated according to the original size, the compact model is not generated, and only the part in the model space is reserved; then the compact model of each particle is expanded to obtain the expansion model of the compact model of each particle; The expansion model of each particle is subjected to area contraction to obtain a mesoscopic model for composite material performance prediction. The invention ensures that there are gaps between the particles, solves the problems that the particles directly contact to form a large number of included angles, the contact points form singular points, and are inconsistent with the actual material structure, and the modeling efficiency is high; it is more in line with the real particle shape in engineering practice , and solves the problem of modeling particles intersecting the model boundary.

Description

technical field [0001] The invention relates to the technical field of material performance detection, in particular to a method and system for constructing a mesoscopic model for performance prediction of composite materials. Background technique [0002] The mechanical and thermal properties of particle-reinforced composites are mainly affected by their mesostructure. Therefore, multi-scale modeling for the structure of such materials and further design and optimization of the mesostructure of such materials are of great significance for analyzing and improving material properties. [0003] Particle reinforced composites are usually complex multiphase discrete systems composed of particles, matrix and the interface between the two. It can also be regarded as a random distribution structure of particles of different scales in a limited space, and the particles are filled with matrix. The material also has defects such as pores and bubbles. In order to more accurately pred...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23G06F30/25G06F113/26G06F119/08
CPCG06F30/23G06F30/25G06F2113/26G06F2119/08
Inventor 季忠薛瑞青卢国鑫刘韧
Owner SHANDONG UNIV
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