Weight optimization of steel trusses by a genetic algorithm - size, shape and topology optimization according to Eurocode
(2010) In TVBK - 5176 VBK920 20091Division of Structural Engineering
Civil Engineering (M.Sc.Eng.)
- Abstract
- There are benefits of weight optimized structures in many engineering fields. In civil
engineering it can for instance be associated with cheaper structural parts and easier
transportation. In this study a genetic optimization algorithm for weight minimization of steel
trusses has been developed in MATLAB. Constraints regarding material strength and
buckling stability are taken from “Eurocode 3: Design of steel structures” and implemented in
the algorithm.
Genetic programming is an effective search technique based on natural selection. The
basic idea is to combine good solutions to a certain problem over many generations to
gradually improve the result. All solutions are initially created randomly, and they are
individually... (More) - There are benefits of weight optimized structures in many engineering fields. In civil
engineering it can for instance be associated with cheaper structural parts and easier
transportation. In this study a genetic optimization algorithm for weight minimization of steel
trusses has been developed in MATLAB. Constraints regarding material strength and
buckling stability are taken from “Eurocode 3: Design of steel structures” and implemented in
the algorithm.
Genetic programming is an effective search technique based on natural selection. The
basic idea is to combine good solutions to a certain problem over many generations to
gradually improve the result. All solutions are initially created randomly, and they are
individually represented by a binary string with some similarities to natural chromosomes,
hence the name genetic programming. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3358937
- author
- Hultman, Max
- supervisor
-
- Daniel Honfi LU
- organization
- course
- VBK920 20091
- year
- 2010
- type
- H3 - Professional qualifications (4 Years - )
- subject
- publication/series
- TVBK - 5176
- report number
- TVBK - 5176
- ISSN
- 0349-4969
- language
- English
- id
- 3358937
- date added to LUP
- 2013-01-10 14:38:40
- date last changed
- 2013-01-10 14:38:40
@misc{3358937, abstract = {{There are benefits of weight optimized structures in many engineering fields. In civil engineering it can for instance be associated with cheaper structural parts and easier transportation. In this study a genetic optimization algorithm for weight minimization of steel trusses has been developed in MATLAB. Constraints regarding material strength and buckling stability are taken from “Eurocode 3: Design of steel structures” and implemented in the algorithm. Genetic programming is an effective search technique based on natural selection. The basic idea is to combine good solutions to a certain problem over many generations to gradually improve the result. All solutions are initially created randomly, and they are individually represented by a binary string with some similarities to natural chromosomes, hence the name genetic programming.}}, author = {{Hultman, Max}}, issn = {{0349-4969}}, language = {{eng}}, note = {{Student Paper}}, series = {{TVBK - 5176}}, title = {{Weight optimization of steel trusses by a genetic algorithm - size, shape and topology optimization according to Eurocode}}, year = {{2010}}, }