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Near-field dynamic modeling method for composite mass diffusion problem

A technology of dynamic modeling and composite materials, which is applied in the field of peridynamic modeling, can solve the problems of heavy workload and low calculation accuracy, and achieve the effects of high precision, algorithm optimization, and good grid adaptability

Active Publication Date: 2018-07-24
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problems of low calculation accuracy and heavy workload existing in the existing finite element modeling method, the present invention provides a peridynamic modeling method for mass diffusion of composite materials. High reliability and high precision and can greatly reduce the workload

Method used

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  • Near-field dynamic modeling method for composite mass diffusion problem
  • Near-field dynamic modeling method for composite mass diffusion problem
  • Near-field dynamic modeling method for composite mass diffusion problem

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Embodiment

[0044] In this embodiment, the study of the diffusion of chloride ions on a concrete slab with a size of 100mm×100mm is taken as an example, and the method of the present invention is used for peridynamic modeling. Among them, the concrete slab contains three components: mortar, aggregate, and aggregate-mortar interface zone ("ITZ" for short), and chloride ions diffuse in the aggregate.

[0045] The main steps of the modeling method are as follows:

[0046] 1) Establish a solid model, the outer contour size of the solid model is 100mm×100mm;

[0047]2) According to the distribution law of each component in the actual material, the solid model is divided, the position of the stratification and inclusion area of ​​each material in the model is determined, and the corresponding material properties are assigned to each area, and the interface of each component of the composite material is obtained at the same time ,Such as Figure 2~3 ;

[0048] 3) The model is divided into uni...

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Abstract

The invention discloses a near-field dynamic modeling method for a composite mass diffusion problem. The method comprises the following steps of 1, building an entity model; 2, cutting the entity model, determining layering and mixing region positions of materials in the model, and giving corresponding material attributes to the regions; 3, dividing the entity model into unit grids; 4, setting concentration boundary conditions of the entity model; 5, on the basis of mass diffusion near-field dynamic constitutive relation, integrating model parameters, determining a calculation method for concentration changes of a diffusing substance in a composite in the entity model, and calculating operation parameters of all units in the entity model; 6, performing submission calculation. The modelingmethod is high in precision and good in grid adaptability, all the parameters in the model are preprocessed, the operation complexity can be greatly lowered, and an algorithm is greatly optimized; themodeling method and the operation process are large in adaptability and applicable to many problems.

Description

technical field [0001] The invention relates to a peridynamic modeling method for the mass diffusion problem of composite materials, belonging to the technical field of composite material manufacturing. Background technique [0002] Compared with traditional materials, composite materials have the advantages of excellent mechanical properties, good plasticity, and convenient preparation, so they are more and more widely used in the design of various structures. Composite materials are often inclusion-containing and heterogeneous materials. With the increasing number of applications, there is an increasing demand for numerical simulation to verify their safety and reliability when designing structures. [0003] The conventional modeling method for composite materials is the finite element method. This method not only has the problems of cumbersome model establishment process and heavy workload, but also has too much dependence on the grid. In order to obtain higher accuracy, ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23G06F2119/06
Inventor 郭力周鑫
Owner SOUTHEAST UNIV
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