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Structural Engineering and Mechanics
  Volume 70, Number 2, April25 2019, pages 221-231
DOI: http://dx.doi.org/10.12989/sem.2019.70.2.221
 


Design optimization of semi-rigid space steel frames with semi-rigid bases using biogeography-based optimization and genetic algorithms
Osman Shallan, Hassan M. Maaly, Merve Sagiroglu and Osman Hamdy

 
Abstract
    This paper performs for the first time a simultaneous optimization for members sections along with semi-rigid beam-to-column connections for space steel frames with fixed, semi-rigid, and hinged bases using a biogeography-based optimization algorithm (BBO) and a genetic algorithm (GA). Furthermore, a member\'s sections optimization for a fully fixed space frame is carried out. A real and accurate simulation of semi-rigid connection behavior is considered in this study, where the semi-rigid base connections are simulated using Kanvinde and Grilli (2012) nonlinear model, which considers deformations in different base connection components under the applied loads, while beam-to-column connections are modeled using the familiar Frye and Morris (1975) nonlinear polynomial model. Moreover, the P-∆ effect and geometric nonlinearity are considered. AISC-LRFD (2016) specification constraints of the stress and displacement are considered as well as section size fitting constraints. The optimization is applied to two benchmark space frame examples to inspect the effect of semi-rigidity on frame weight and drift using BBO and GA algorithms.
 
Key Words
    genetic algorithm; biogeography-based optimization; semi-rigid space steel frame; optimization; semi-rigid base
 
Address
Osman Shallan, Hassan M. Maaly and Osman Hamdy: Department of Structural Engineering, University of Zagazig, Zagazig, Egypt
Merve Sagiroglu: Department of Civil Engineering, Technical University of Erzurum, Erzurum, Turkey
 

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