A multi-level two-way evolution structure optimization method for materials

An optimization method and multi-level technology, applied in multi-objective optimization, computer material science, design optimization/simulation, etc., can solve problems such as falling into local optimal solutions, and achieve the effect of low compliance and high material utilization

Active Publication Date: 2021-11-05
HUNAN UNIV OF SCI & TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The classic BESO algorithm adopts a 0-1 optimization method, which may fall into a local optimal solution due to boundary problems in the optimization process

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 multi-level two-way evolution structure optimization method for materials
  • A multi-level two-way evolution structure optimization method for materials
  • A multi-level two-way evolution structure optimization method for materials

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] A method for optimizing a multi-level bidirectional evolution structure of a material, specifically comprising the following steps:

[0058] S1: discretize the entire design domain using a finite element mesh;

[0059] S2: Define the initial parameters, including the target volume ratio V obj , the average adjustment coefficient α of materials at all levels j , upgrade rate e r and downgrade rate r r , material scale number n and elastic modulus physical parameters of each material;

[0060] S3: Perform finite element analysis;

[0061] S4: Calculate the sensitivity of all units;

[0062] S5: Filter and update sensitivity:

[0063] S6: Calculate the upgrade index P of each material j,1 and the degradation index P j,2 ;

[0064] S7: Carry out de-escalation operation between adjacent material grades;

[0065] S8: Judging whether the target volume ratio V is reached obj , if yes, the optimization ends, otherwise return to S3.

[0066] As a further improvement o...

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 present invention relates to a material multi-level bidirectional evolution structure optimization method, which specifically includes the following steps: S1: using finite element grids to discretize the entire design domain; S2: defining initial parameters, including the target volume ratio V obj , the average adjustment coefficient α of materials at all levels j , upgrade rate e r and downgrade rate r r , material scale number n and physical parameters of elastic modulus of each material; S3: Perform finite element analysis; S4: Calculate unit sensitivity; S5: Sensitivity filtering and updating: S6: Calculate the upgrade index P of each material j,1 and the degradation index P j,2 ; S7: Carry out upgrading and upgrading operations between adjacent material grades; S8: Determine whether the target volume ratio V is reached obj , if yes, the optimization ends, otherwise return to S3. The invention can obtain a better solution than the classic BESO, and the solution has lower flexibility and is more in line with the optimization goal; the evolved bar system structure topology is clearer as a whole and the material utilization rate is higher.

Description

technical field [0001] The invention relates to a material multi-level two-way evolution structure optimization method. Background technique [0002] The BESO series algorithm is one of the most commonly used and most stable topology optimization algorithms when looking for the optimal topological shape of a structure to guide design in current engineering. The classic BESO algorithm adopts a 0-1 optimization method, which may fall into a local optimal solution due to boundary problems in the optimization process. Contents of the invention [0003] The purpose of the present invention is to provide a material multi-level two-way evolution structure optimization method, which can obtain a better solution than the classic BESO. On the one hand, the solution has lower compliance and is more in line with the optimization goal; The topological overall member is clearer, the material utilization rate is higher, and the stress mechanism of the member is further reflected through...

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): G16C60/00G16C10/00G06F30/23G06F111/06G06F119/14
CPCG16C10/00G16C60/00G06F30/23G06F2111/06G06F2119/14
Inventor 张鹄志罗鹏黄垚森马哲霖
Owner HUNAN UNIV OF SCI & TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap