Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Phase field model localization adaptive algorithm for simulating material cracking

A material simulation and localization technology, applied in the fields of computational mechanics and materials science, can solve problems such as reducing the amount of calculation, and achieve the effect of reducing the amount of calculation, strong practicability, and simple implementation process

Active Publication Date: 2021-07-09
WUHAN UNIV +1
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the self-adaptive models that have been developed at present focus on the refinement process of the grid, and no one has started from the control equation. Therefore, the present invention provides a new idea to reduce purpose of calculation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Phase field model localization adaptive algorithm for simulating material cracking
  • Phase field model localization adaptive algorithm for simulating material cracking
  • Phase field model localization adaptive algorithm for simulating material cracking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0067] A Phase Field Model Localization Adaptive Algorithm for Simulating Material Cracking ( figure 1 shown), the simulation steps are as follows:

[0068] Step 1: Perform a uniaxial tensile test to obtain the material parameters required by the method, including the following parameters: (1) elastic modulus E=191.1GPa, (2) Poisson's ratio μ=0.183, (3) uniaxial tensile energy Release rate G c =2.7N / mm(4) Tensile strength f t =2445.42MPa;

[0069] Step 2: Use finite element software to establish a finite element two-dimensional or three-dimensional numerical model, substitute the measured material parameters into the established finite element model, and impose certain boundary conditions on the numerical model according to the actual failure process to be simulated. The boundary condition of the square plate is to impose fixed constraints on the lower boundary of the square plate, and to impose a horizontal and rightward constant velocity displacement on the upper boundary...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a phase field model localization self-adaptive algorithm for simulating material cracking. The phase field model localization self-adaptive algorithm is suitable for tracking and simulating a material elastic-plastic failure process and greatly reducing the calculation amount. The algorithm comprises the following steps: obtaining material parameters required by a numerical simulation process through a uniaxial tensile test, substituting the measured material parameters into an established finite element model, further establishing an equilibrium equation and a crack evolution equation of a phase field model, establishing a localization self-adaptive judgment criterion of the phase field model, and carrying out overall-local staggered solution on the simulated object to realize rapid solution and simulation of the crack propagation process of the material under the action of external force. According to the method provided by the invention, the solving speed of the crack propagation process of the phase field model is greatly improved; meanwhile, the simulation precision of the damage process is guaranteed, and the problems that a traditional phase field model theory is large in calculation amount, slow in solving and limited in application are solved.

Description

technical field [0001] The invention belongs to the fields of computational mechanics and material science, in particular, the invention relates to a phase field model localization self-adaptive algorithm for simulating material cracking. Background technique [0002] As a new dispersion method based on finite elements, the phase field model has many advantages in simulating the fracture and damage of materials. In recent years, it has been widely used in the analysis and research of brittle, plastic, crystal and other solid materials. One of the main tasks of the phase field model is to predict the crack propagation path of material damage. In order to achieve the accuracy of the simulation, the calculation domain needs to be finely divided into meshes, and since the cracks are dispersed, it is necessary to solve The control equations are more complicated, and there is a problem of large amount of calculation in the process of solving, which has high requirements for comput...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/23
CPCG06F30/23
Inventor 王桥岳强周伟高宇李通盛刘彪黄诚斌
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com