A fast simulation modeling method based on ACA-MLFMA accelerated domain decomposition non-conformal mesh

A simulation modeling and area decomposition technology, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve problems such as high internal friction consumption and unsatisfactory solution speed, so as to improve calculation efficiency and improve the ability to solve electromagnetic field characteristics , The effect of improving the efficiency of electromagnetic field solution

Pending Publication Date: 2019-02-22
SHANGHAI RADIO EQUIP RES INST
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a fast simulation modeling method based on ACA-MLFMA accelerated domain decomposition non-conformal grid, under the framework of domain decomposition, using adaptive cross approximation algorithm and multi-layer fast multipole (ACA- MLFMA) combined with the acceleration of the integral equation method of moments can greatly improve the ability to solve com

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 fast simulation modeling method based on ACA-MLFMA accelerated domain decomposition non-conformal mesh
  • A fast simulation modeling method based on ACA-MLFMA accelerated domain decomposition non-conformal mesh
  • A fast simulation modeling method based on ACA-MLFMA accelerated domain decomposition non-conformal mesh

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further elaborated below by describing a preferred specific embodiment in detail in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, the present invention discloses a fast simulation modeling method based on ACA-MLFMA accelerated region decomposition non-conformal grid, which comprises the following steps:

[0025] S1. According to the structure and material properties of the target, the target is divided into regions, and then the mesh is discretized in each different region. The mesh division between adjacent regions is independent to form a non-conformal mesh; Preferably, the division of regions follows the material parameters of adjacent parts, and only when the scale characteristics differ greatly, it is divided into independent regions. The fewer the number of divided regions, the better; The parameters differ by more than 30%, and the size difference is obvious as the standard, such as Figure 4 As sh...

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

ACA based-MLFMA-accelerated fast simulation modeling method for domain decomposition non-conformal mesh comprises the following steps: S1, according to the structure and material characteristics of the target, the target is divided into regions, and discretizing then the mesh on each different region, and separately dividing the mesh between adjacent regions to form non-conformal mesh; S2, separating the mesh between adjacent regions to form non-conformal mesh; S2, selecting appropriate basis function to simulate local electromagnetic current, and using integral equation operator to form matrix equation; S3, using ACA-MFLMA algorithm compresses the matrix equation and iterates quickly to accelerate the solution of the matrix equation, obtains the position induction coefficients of the local electromagnetic current, and then obtains the distribution of the induced electromagnetic current on the target. S4, taking the induced electromagnetic current as the secondary radiation source, theelectromagnetic field distribution in the near region and the scattering characteristics of the far field are calculated, and the electromagnetic field response characteristics of the target are analyzed. The advantages of the method are that it makes full use of the advantages of ACA and MLFMA, and greatly improves the capability of solving the engineering electromagnetic field characteristics.

Description

technical field [0001] The invention relates to an efficient and fast algorithm for the electromagnetic characteristics of an electrically large-sized and complex target, in particular to a fast simulation modeling method based on ACA-MLFMA accelerated regional decomposition of non-conformal grids. Background technique [0002] With the development of computer technology, the numerical algorithms provided by computational electromagnetics have been more and more widely used. Using the numerical algorithms provided by computational electromagnetics, the relevant electromagnetic targets can be modeled, simulated and optimized on the computer, which greatly shortens the The development cycle of electronic products is shortened, thereby reducing the cost of research and development. [0003] The emergence of composite materials, multi-scale structures, large electrical dimensions and other characteristics make conventional electromagnetic characteristic analysis methods unable t...

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): G06F17/50
CPCG06F30/20
Inventor 郭良帅廖意梁子长张元
Owner SHANGHAI RADIO EQUIP RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products