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- Title
Optimization of Steel Sections Using Genetic Algorithms and Exhaustive Enumerative Methods.
- Authors
Itti, S. V.; Gokak, Varsha P.
- Abstract
The objective of this study was to develop an approach to optimization of beam designs. Optimization of steel sections using two different methods was carried out. First, optimization using Genetic Algorithms (GA) was employed through MATLAB's Optimization Toolbox. Second, optimization using Exhaustive Enumeration (EE) method was employed, wherein programs were developed based on the steel sections present in the market according to the Indian Steel Tables. Under the given loading and support conditions, the comparative strength of two (2) common structural shapes was determined. The weight per meter, sectional modulus and the deflection in the beams produced by both the methods were compared. This led to the conclusion that a particular structural shape together with its dimensions would give the optimal solution in beam design in terms of minimum weight to support the given load, which would then translate into savings in the cost of the structural member. It is concluded that the GA method proves to be more economical and efficient compared to EE method. The weight obtained by the GA method was approximately 30% less than that obtained by the EE method. The sections got by the GA method have to be prefabricated, hence fabrication cost might increase, whereas the EE method gives sections which are readily available in the market.
- Subjects
STRUCTURAL optimization; GIRDERS; COMPOSITE construction; GENETIC algorithms; MATLAB (Computer software); SYSTEMS engineering software; COMPUTER software
- Publication
IUP Journal of Structural Engineering, 2013, Vol 6, Issue 1, p32
- ISSN
0974-6528
- Publication type
Article