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Performance-based seismic design of steel frames using ant colony optimization

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Bibliographic Details
Title: Performance-based seismic design of steel frames using ant colony optimization
Authors: Kaveh, A.1 alikaveh@iust.ac.ir, Farahmand Azar, B.2, Hadidi, A.2, Rezazadeh Sorochi, F.2, Talatahari, S.2
Source: Journal of Constructional Steel Research. Apr2010, Vol. 66 Issue 4, p566-574. 9p.
Subjects: Earthquake resistant design, Structural frames, Structural steel, Structural optimization, Ant algorithms, Genetic algorithms, Structural analysis (Engineering), Geometric analysis
Abstract: Abstract: In this paper, a performance-based optimal seismic design of frame structures is presented using the ant colony optimization (ACO) method. This discrete metaheuristic algorithm leads to a significant improvement in consistency and computational efficiency compared to other evolutionary methods. A nonlinear analysis is utilized to arrive at the structural response at various seismic performance levels, employing a simple computer-based method for push-over analysis which accounts for first-order elastic and second-order geometric stiffness properties. Two examples are presented to illustrate the capabilities of ACO in designing lightweight frames, satisfying multiple performance levels of seismic design constraints for steel moment frame buildings, and a comparison is made with a standard genetic algorithm (GA) implementation to show the superiority of ACO for the discussed optimization problem. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:Abstract: In this paper, a performance-based optimal seismic design of frame structures is presented using the ant colony optimization (ACO) method. This discrete metaheuristic algorithm leads to a significant improvement in consistency and computational efficiency compared to other evolutionary methods. A nonlinear analysis is utilized to arrive at the structural response at various seismic performance levels, employing a simple computer-based method for push-over analysis which accounts for first-order elastic and second-order geometric stiffness properties. Two examples are presented to illustrate the capabilities of ACO in designing lightweight frames, satisfying multiple performance levels of seismic design constraints for steel moment frame buildings, and a comparison is made with a standard genetic algorithm (GA) implementation to show the superiority of ACO for the discussed optimization problem. [Copyright &y& Elsevier]
ISSN:0143974X
DOI:10.1016/j.jcsr.2009.11.006