Unlock instant, AI-driven research and patent intelligence for your innovation.

A method and device for generating structural grid based on neural network

A neural network and grid generation technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of complex shape and low degree of automation of structural grids

Active Publication Date: 2022-07-05
CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as the size of the grid gradually increases and the shape becomes more and more complex, the automation of the structural grid generated by the TFI algorithm is relatively low.

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
  • A method and device for generating structural grid based on neural network
  • A method and device for generating structural grid based on neural network
  • A method and device for generating structural grid based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art based on the present application fall within the protection scope of the present invention.

[0053]In order to achieve the above objective, embodiments of the present invention provide a method and apparatus for generating a structural grid based on a neural network, and the method and apparatus can be applied to various electronic devices, which are not specifically limited. The following is a detailed introduction to the structure grid generation method based on neural network. The steps in the following method embodiment...

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 embodiments of the present invention provide a method and device for generating a structural grid based on a neural network, the method includes: acquiring a model of a target object; dividing the model into multiple closed areas by drawing grid lines of the object plane of the model; randomly generating The value of the first parameter field of the closed area; the neural network is trained according to the value of the first parameter field, and the trained neural network model is obtained; the value of the second parameter field of the closed area is calculated according to the point value set by the user; The value of the second parameter domain is input into the trained neural network model, and the coordinate value of the grid point in the second physical domain output by the neural network model is obtained; according to the coordinate value of the grid point in the second physical domain, the surface of the model of the target object is generated Mesh, the surface mesh is a structured mesh. It can be seen that in this scheme, the surface mesh of the model of the target object is automatically generated based on the neural network, with less human intervention, which improves the automation degree of mesh generation.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of computational fluid dynamics, and in particular, to a method and device for generating a structural grid based on a neural network. Background technique [0002] Mesh generation is the preprocessing step of CFD (Computational Fluid Dynamics, Computational Fluid Dynamics) analysis, and the size and quality of the generated mesh will affect the CFD analysis results. Grids include structural grids. Structural grids usually have a uniform topology. The grid area can be divided into regular elements. Structured grids are usually suitable for solving simple and geometrically regular models. [0003] At present, the TFI (Transfinite Interpolation, Transfinite Interpolation) algorithm is usually used to generate structural meshes. However, as the grid size gradually increases and the shape becomes more and more complex, the automation degree of using the TFI algorithm to generate the struct...

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 Patents(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/04G06N3/08Y02T90/00
Inventor 贺晓宇郭永恒庞宇飞刘杨谢冬香陈坚强
Owner CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT