Application of genetic algorithm to optimization of buckling restrained braces for seismic upgrading of existing structures

A systematic methodology is proposed for determining the optimal cross-sectional areas of buckling restrained braces used for the seismic upgrading of structures against severe earthquakes. Single-objective and multi-objective optimization problems are formulated. The objective for the former is cos...

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Bibliographic Details
Published in:Computers & structures 2009, Vol.87 (1), p.110-119
Main Authors: Farhat, Fadi, Nakamura, Shozo, Takahashi, Kazuo
Format: Article
Language:English
Subjects:
Buckling
Buckling restrained braces
Exact sciences and technology
Fracture mechanics (crack, fatigue, damage...)
Fundamental areas of phenomenology (including applications)
Genetic algorithm
Hysteretic dampers
Multi-objective optimization
Physics
Seismic upgrading
Solid mechanics
Static elasticity (thermoelasticity...)
Structural and continuum mechanics
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
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Summary:A systematic methodology is proposed for determining the optimal cross-sectional areas of buckling restrained braces used for the seismic upgrading of structures against severe earthquakes. Single-objective and multi-objective optimization problems are formulated. The objective for the former is cost and those for the latter are cost and damage. The constraint is the minimum structural performance required. A genetic algorithm is employed to solve both types of problem. Performance is estimated by conducting nonlinear dynamic analysis. A preliminary procedure based on static analysis is adopted to improve the search efficiency. Both approaches are applied to the strengthening of a multi-storey frame.
ISSN:0045-7949
1879-2243
DOI:10.1016/j.compstruc.2008.08.002