scholarly journals Minimum-weight design of compressively loaded composite plates and stiffened panels for postbuckling strength by Genetic Algorithm

2005 ◽  
Vol 69 (2) ◽  
pp. 239-246 ◽  
Author(s):  
Ji-Ho Kang ◽  
Chun-Gon Kim
Keyword(s):  
Genetic Algorithm ◽  
Minimum Weight ◽  
Composite Plates ◽  
Minimum Weight Design ◽  
Stiffened Panels ◽  
Weight Design

Genetic-algorithm-based minimum weight design of an outrigger system for high-rise buildings

2016 ◽  
Vol 117 ◽  
pp. 496-505 ◽  
Author(s):  
Hyo Seon Park ◽  
Eunseok Lee ◽  
Se Woon Choi ◽  
Byung Kwan Oh ◽  
Tongjun Cho ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Minimum Weight ◽  
Minimum Weight Design ◽  
High Rise ◽  
Weight Design

Minimum Weight Design of Laminated Composite Plates for Postbuckling Performance

1991 ◽  
Vol 44 (11S) ◽  
pp. S219-S231 ◽  
Author(s):  
Dong Ku Shin ◽  
Zafer Gu¨rdal ◽  
O. Hayden Griffin
Keyword(s):  
Minimum Weight ◽  
Optimization Technique ◽  
Composite Plates ◽  
Laminated Plates ◽  
Orthotropic Plates ◽  
Minimum Weight Design ◽  
Individual Layer ◽  
Aspect Ratios ◽  
Weight Design ◽  
Discrete Values

Minimum-weight design of simply-supported, symmetrically laminated, thin, rectangular, specially orthotropic laminated plates for buckling and postbuckling strength is investigated. The postbuckling analysis is based on an Marguerre-type energy method extended to generally orthotropic plates with a special consideration of the mode change in the postbuckling load regime. The failure load of laminates is calculated by the maximum strain failure criterion based on the in-plane strains. Design variables are individual layer thicknesses with specified fiber orientations and assumed to take only discrete values corresponding to multiples of the lamina thickness. The optimization with discrete valued design is achieved by introducing additional penalty terms, in the form of a sine function, to the regular pseudo-objective function of sequential unconstrained minimization technique (SUMT). The proposed optimization technique is applied to the design of rectangular laminates made up of 0, ± 45, 90 degree laminae with various aspect ratios loaded by axial compressive loads.

scholarly journals Resizing Technique-Based Hybrid Genetic Algorithm for Optimal Drift Design of Multistory Steel Frame Buildings

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Hyo Seon Park ◽  
Eunmi Kwon ◽  
Yousok Kim ◽  
Se Woon Choi
Keyword(s):  
Genetic Algorithm ◽  
Minimum Weight ◽  
Hybrid Genetic Algorithm ◽  
Optimization Methods ◽  
Steel Frame ◽  
Convergence Properties ◽  
Minimum Weight Design ◽  
Frame Buildings ◽  
Steel Frame Buildings ◽  
Weight Design

Since genetic algorithm-based optimization methods are computationally expensive for practical use in the field of structural optimization, a resizing technique-based hybrid genetic algorithm for the drift design of multistory steel frame buildings is proposed to increase the convergence speed of genetic algorithms. To reduce the number of structural analyses required for the convergence, a genetic algorithm is combined with a resizing technique that is an efficient optimal technique to control the drift of buildings without the repetitive structural analysis. The resizing technique-based hybrid genetic algorithm proposed in this paper is applied to the minimum weight design of three steel frame buildings. To evaluate the performance of the algorithm, optimum weights, computational times, and generation numbers from the proposed algorithm are compared with those from a genetic algorithm. Based on the comparisons, it is concluded that the hybrid genetic algorithm shows clear improvements in convergence properties.

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