Stereoscopic garage optimization method based on self-adaption genetic algorithm

A genetic algorithm and three-dimensional garage technology, applied in the field of structural optimization of three-dimensional parking garage rods, can solve problems such as poor bearing stability

Active Publication Date: 2017-05-17
ENJOYOR COMPANY LIMITED
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the disadvantages of poor load-carrying stability of existing three-dimensional garages, the present invention provides a three-dimensional garage optimization method based on adaptive genetic algorithm with better load-carrying stability

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
  • Stereoscopic garage optimization method based on self-adaption genetic algorithm
  • Stereoscopic garage optimization method based on self-adaption genetic algorithm
  • Stereoscopic garage optimization method based on self-adaption genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

example

[0095] Example: The structure is divided into 7 groups of units as an example, the beam unit M=5 groups, the rod unit N=2 groups, the parameters to be optimized are [d 1 ,d 2 ,...,d 7 ]. The selected steel material density ρ = 7850kg / m 3 . The stress intensity is less than or equal to 100MPa and the allowable deflection is less than or equal to 4mm. Use the MATLAB genetic algorithm toolbox to solve the problem, the population size is 30, the evolutionary algebra is 100, and the initial crossover rate P c1 =0.6,P c2 =0.3; initial mutation rate P m1 =0.05, P m2 =0.001.

[0096] Set the basic parameters of the three-dimensional garage model: the bottom is 2.6m; the middle is 2.2m; the top height is 1.5m. The design capacity of the garage is 20 vehicles, and 10 floors of standard parking units are required, so the total number of floors of the garage is 12 floors, and the total height is H=2.6+10×2.2+1.5=26.1m. The finite element model is established by using three-dimen...

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

A stereoscopic garage optimization method based on a self-adaption genetic algorithm comprises the steps that (1) a finite element model of stereoscopic garage bearing is established on the basis of original design parameters, and a maximum bending moment load borne by each rod part and a maximum bearing deformation value are computed; (2) a total weight target function of optimal design of a steel structure framework of the stereoscopic garage is established, and the needed design parameters are processed by equivalence; and (3) in order to ensure that the structure framework of the garage has enough strength, rigidity and stability, a condition that structural stress and node displacement do not exceed allowable values is taken as a constraint condition, and a stereoscopic garage optimization scheme is obtained by the self-adaption genetic algorithm. The invention provides the stereoscopic garage optimization method based on the self-adaption genetic algorithm, wherein bearing stability is high.

Description

technical field [0001] The invention relates to a method for optimizing a three-dimensional garage, in particular to a method for optimizing a rod structure of a three-dimensional garage. Background technique [0002] At present, the sharp increase of private vehicles of urban residents not only causes urban road traffic congestion, but also makes it increasingly difficult to park in urban areas. The development of three-dimensional parking lots can effectively alleviate the difficult problem of urban traffic, because three-dimensional garages have the following advantages compared with ordinary flat parking lots: 1) Vehicle parking is developed to space, thereby saving the precious land area occupied by flat parking lots; 2) It can effectively solve the difficulty of parking in densely populated urban areas. It is important to design durable three-dimensional garage parking facilities. Since the steel structure skeleton of the three-dimensional garage plays the role of sup...

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): G06F17/50G06N3/12
CPCG06F30/23G06N3/126
Inventor 张标标郭巍刚余敏俊
Owner ENJOYOR COMPANY LIMITED
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