Elasto-plastic analysis based truss optimization using Genetic Algorithm

► A single objective optimization scheme for truss structures has been proposed. ► The total structural mass is the objective function. ► The ultimate resistance ability of truss structure is considered. ► The Genetic Algorithm (GA) is the optimization tool. ► Optimizations of a double-layer truss s...

Full description

Saved in:
Bibliographic Details
Published in:Engineering Structures Vol. 50; pp. 1 - 12
Main Authors: Wang, Huaguo, Ohmori, Hiroshi
Format: Journal Article Conference Proceeding
Language:English
Published: Kidlington Elsevier Ltd 01.05.2013
Elsevier BV
Elsevier
Subjects:
Accident prevention
Accidents
Applied sciences
Buildings. Public works
Collapse
Collapse load factor
Computation methods. Tables. Charts
Earthquake design
Elasto-plastic analysis
Exact sciences and technology
Genetic Algorithm
Genetic algorithms
Multi-objective optimization
Optimization
Seismic phenomena
Stresses. Safety
Structural analysis. Stresses
Truss optimization
Trusses
Collapse load factor
Multi-objective optimization
Elasto-plastic analysis
Genetic Algorithm
Truss optimization
Collapse
Structural design
Multiobjective programming
Optimization
Truss structure
Elastoplasticity
Genetic algorithm
Formulation
Example
Numerical simulation
Structural analysis
ISSN:0141-0296, 1873-7323
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:► A single objective optimization scheme for truss structures has been proposed. ► The total structural mass is the objective function. ► The ultimate resistance ability of truss structure is considered. ► The Genetic Algorithm (GA) is the optimization tool. ► Optimizations of a double-layer truss structure and dome truss structure have been executed. In this paper, the incremental elasto-plastic analysis method, is utilized to predict the collapse load factor of truss structures. The obtained collapse load factor is then incorporated into truss optimization using a Genetic Algorithm (GA) in order to generate truss structures which cannot only maintain load-carrying capacity under ordinary load conditions, but also avoid collapse under accidental load conditions such as an extremely large earthquake. Our designed optimization scheme is successfully implemented to solve two optimization problems, indicating the successful realization of designed optimization scheme.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0141-0296
1873-7323
DOI:10.1016/j.engstruct.2013.01.010