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

Rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU

A mechanical parameter, non-uniform technology, applied in CAD numerical modeling, electrical digital data processing, special data processing applications, etc., can solve problems such as inability to calculate and measure the stress field and material parameters

Inactive Publication Date: 2021-05-14
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, the digital speckle correlation method has been widely used in experimental research in many fields of geotechnical engineering. For example, in the experimental loading process of rock materials, the displacement field and strain field, but this method cannot calculate and measure the stress field and material parameters of the material, this issue needs to be further studied

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
  • Rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU
  • Rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU
  • Rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0025] The realization process of the rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU of the present invention is mainly divided into three parts (such as figure 1 shown), the first part uses the digital speckle correlation method to observe the loading process of the rock experiment, and calculates the strain field data; the second part, given the initial elastic parameters of each unit, uses ABAQUS finite element software to perform numerical simulation on the experimental process, and derives Stress field data; in the third part, the experimental strain field data, the numerically calculated stress field data and the elastic parameters (elastic modulus, Poisson's ratio) of each unit are used to construct the objective function, and the experimental measurement data and the numerical simulation data are combined by an optimization algorithm. The difference is minimized, and the elastic parameters of each unit of the rock specimen are output. The w...

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 relates to a rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU. The method comprises the steps of observing the deformation of the test piece in the rock loading experiment process based on a digital speckle correlation method, and calculating a strain field; based on a finite element model correction method, establishing a numerical calculation model for experimental loading in the ABAQUS, giving initial elastic parameters of each unit, assigning the elastic parameters of each unit by using a Python program based on weibull distribution, performing finite element calculation, and automatically outputting a stress field of the numerical model through the Python program; based on the finite element theory, deducing a rock inhomogeneous mechanical parameter inversion objective function, representing the difference between an experimental measurement strain field and a numerical calculation strain field, using an optimization algorithm to minimize the objective function, outputting most matched elastic parameters of each unit, and if the objective function does not meet an iteration convergence condition, automatically modifying the elastic parameters of each unit through a Python program, substituting the elastic parameters into a new round of finite element calculation until the objective function converges, and outputting the elastic parameters of each unit.

Description

technical field [0001] The invention relates to a rock inhomogeneous mechanical parameter inversion method based on DSCM-FEMU, and belongs to the technical fields of photomechanics, deformation measurement and numerical simulation. Background technique [0002] The Digital Speckle Correlation Method (Digital Speckle Correlation Method, DSCM) is a non-contact optical measurement method, which is based on the "gray level invariance assumption", and uses a correlation algorithm to track the position changes of random speckle points during the deformation process. field and high precision. In recent years, the digital speckle correlation method has been widely used in experimental research in many fields of geotechnical engineering. For example, in the experimental loading process of rock materials, the displacement field and strain field, but this method cannot calculate and measure the stress field and material parameters of the material, and this problem needs to be further ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06F111/10G06F119/14
CPCG06F30/23G06F2111/10G06F2119/14
Inventor 杨小彬吴佳宁宋义敏裴艳宇程虹铭马志奇王洋
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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