Body side structure multi-working-condition collaborative optimization implementation method based on particle swarm optimization

A particle swarm optimization, body side wall technology, applied in design optimization/simulation, calculation, special data processing applications, etc., can solve problems such as weight reduction

Inactive Publication Date: 2017-05-10
SHANGHAI JIAO TONG UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the defects that the prior art cannot realize multi-working-condition collaborative optimization of the car body, the present invention proposes a multi-working-condition collaborativ

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
  • Body side structure multi-working-condition collaborative optimization implementation method based on particle swarm optimization
  • Body side structure multi-working-condition collaborative optimization implementation method based on particle swarm optimization
  • Body side structure multi-working-condition collaborative optimization implementation method based on particle swarm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Such as figure 1 As shown, the specific steps of this embodiment include:

[0039] Step 1. Using Hypermesh as the pre-processing software platform, and using LS-DYNA and ABAQUS as solvers, conduct finite element modeling of the vehicle and body-in-white skeleton of the car to be optimized, and conduct side impact simulation for the vehicle model Analysis, for the body-in-white model, the simulation analysis of stiffness conditions is carried out, and the simulation model of the side impact analysis of the car and the stiffness analysis simulation model of the body-in-white are respectively obtained (such as figure 2 , image 3 shown).

[0040] The vehicle model mentioned above is a model for simulation analysis, including detailed body-in-white, chassis and powertrain finite element models, with an average unit size of 10mm, a total of 1,005,019 shell elements, a total of 22,575 solid elements, beam 7,718 units.

[0041] The body-in-white model is a model used for si...

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 provides a body side structure multi-working-condition collaborative optimization implementation method based on particle swarm optimization. A whole car side finite element model for a side collision working condition and a white body finite element model for a rigidity mode working condition are established for a to-be-optimized body side structure of a car, side collision analysis and rigidity mode analysis are correspondingly carried out, and design variables are selected; the number of the corresponding design variables of simulation analysis of different working conditions is sampled, a corresponding approximate model is established, a reinforced collaborative optimization algorithm is applied to establishing the coupling relationship between the side collision working condition and the rigidity mode working condition, sensitivity analysis and data mining are carried out respectively aiming at the side collision working condition and the rigidity mode working condition, and main design variables and optimized target areas corresponding to the side collision working condition and the rigidity mode working condition are obtained; particle swarm optimization initial particle populations are reasonably arranged, corresponding improved particle swarm optimization strategies are applied for optimizing solving aiming at different working conditions, and finally the body side optimized structure is obtained.

Description

technical field [0001] The invention relates to a technology in the field of car body side wall structure design, in particular to a multi-working-condition collaborative optimization realization method for the body side wall structure based on improved particle swarm optimization. Background technique [0002] With the progress of the times and the development of science and technology, people have higher and higher requirements for the automobile industry, such as shortening the production cycle and expanding the scope of use of vehicles, etc., which have brought great pressure to the development of the automobile industry. As modern vehicles contain more functions and features, the vehicle design process becomes more and more complex, and the number of working conditions that need to be studied is greatly increased: in addition to the traditional driving dynamics, structural stability, crashworthiness and other working conditions , some additional conditions such as body ...

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
CPCG06F30/15G06F30/23
Inventor 刘钊朱平李晗
Owner SHANGHAI JIAO TONG UNIV
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