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Multidisciplinary System Optimisation on the Design of Cost Effective Space Launch Vehicle Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Discrete Particle Swarm Algorithm for Sizing Optimization of Steel Truss Structures

Authors : Waldir N. Felippe, Luiza F. Carneiro

Published in: Advances in Structural and Multidisciplinary Optimization

Publisher: Springer International Publishing

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Abstract

Traditionally, the algorithms to solve structural engineering optimization problems consider that the design variables are continuously valued. However, in steel structural design practice, some variables are chosen from discrete sets of steel profiles during the sizing process of structural elements to avoid extra costs associated with the use of non-standard section sizes. Despite of that, there is an extensive bibliography concerning continuous valued design variables and particle swarm optimization (PSO) algorithms. On the other hand, smaller attention has been paid to solve problems with discrete valued design variables with PSO algorithm support. In this paper, a discrete particle swarm algorithm is presented and applied in some benchmark problems. Displacement and tensions constraints are also considered in accordance with Eurocode 3.

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previous chapter Optimization of Concrete Cable-Stayed Bridges with Discrete Design Variables
next chapter Design of Cellular Materials and Mesostructures with Improved Structural and Thermal Performances
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Metadata
Title
A Discrete Particle Swarm Algorithm for Sizing Optimization of Steel Truss Structures
Authors
Waldir N. Felippe
Luiza F. Carneiro
Copyright Year
2018
Book
Advances in Structural and Multidisciplinary Optimization

Print ISBN: 978-3-319-67987-7

Electronic ISBN: 978-3-319-67988-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67988-4_146

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