Random particle circle generation method based on expansion chain

An extended chain and particle technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as large modeling errors, particle circle interference, and reduce polygon area, so as to improve accuracy and reliability , Eliminate particle circle interference and reduce the effect of particle circle separation

Inactive Publication Date: 2015-10-21
JIANGSU UNIV OF TECH
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Problems solved by technology

Interference will reduce the area of ​​polygons generated by the Laguerre model, and separation will produce too many unfilled areas, resulting in distortion of subsequent polygon meshing and large modeling errors
[0007]At present, foreign countries try to use the method of particle filling to generate finite element simulation models, but there is still the possibility of particle circle interference in the case of large dispersion of particle circle size

Method used

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  • Random particle circle generation method based on expansion chain
  • Random particle circle generation method based on expansion chain
  • Random particle circle generation method based on expansion chain

Examples

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example 1

[0052] Example 1: It is known that the radius of the weight circle obeys the normal distribution, and its probability density function is , then the weight circle generated by the extended chain algorithm is as follows Figure 5 (a) shown.

example 2

[0053] Example 2: It is known that the radius of the weight circle obeys the Weibull distribution, and its probability density function is , then the weight circle generated by the extended chain algorithm is as follows Figure 5 (b) shown.

[0054] Compared with the prior art, the method for generating random particle circles based on extended chains in the present invention provides a method for filling particle circles. This method generates random radii according to a certain probability density function and produces as dense a particle circle as possible, completely eliminating Particle circle interference, while greatly reducing particle circle separation, significantly improves accuracy and reliability in related simulation and simulation fields.

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Abstract

The invention relates to a random particle circle generation method based on an expansion chain. The method mainly comprises a step of conventional particle circle generation and activity chain updating, and a step of particle circle interference processing. According to an expansion chain algorithm, random radiuses are generated based on a probability density function, and particle circle filling areas are generated based on a principle that no interference exists and the areas are compact as far as possible. According to the method, a conventional circle generation manner, interference type definition and an interference processing manner are emphasizedly designed, a current line segment is selected for generating a new circle and the activity chain is updated according to different interference conditions, particle circle interference is completely avoided, disjoint phenomena of the particle circles are greatly reduced, and the accuracy and reliability of the simulation are substantially improved.

Description

technical field [0001] The invention relates to the field of multi-crystal simulation modeling, in particular to a method for generating random particle circles based on extended chains. Background technique [0002] As one of the most powerful digital methods for solving engineering problems, the combination of discrete element method (DEM) and finite element technology is developing rapidly. Typical examples include process simulation (such as: particle assembly, particle dynamics), fracture damage model (such as: metal material microstructure simulation, rock and soil mechanics) and metal material microstructure simulation. For many complex physical phenomena and structural simulations, approximating discretized solids with simple geometric solid circles works well. [0003] Relevant studies usually build models with regular hexagons, which have a single shape and low precision. Therefore, the simulation construction algorithm based on the Voronoi model or Laguerre model...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 陈震周金宇
Owner JIANGSU UNIV OF TECH
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