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General Information
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2016 Vol.8(4): 227-233 ISSN: 1793-8236
DOI: 10.7763/IJET.2016.V8.890

Dynamic Optimization of Structures Subjected to Earthquake

Alireza Lavaei and Alireza Lohrasbi
Abstract—To reduce the overall time of structural optimization for earthquake loads two strategies are adopted. In the first strategy, a neural system consisting self-organizing map and radial basis function neural networks, is utilized to predict the time history responses. In this case, the input space is classified by employing a self-organizing map neural network. Then a distinct RBF neural network is trained in each class. In the second strategy, an improved genetic algorithm is employed to find the optimum design. A 72-bar space truss is designed for optimal weight using exact and approximate analysis for the El Centro (S-E 1940) earthquake loading. The numerical results demonstrate the computational advantages and effectiveness of the proposed method.

Index Terms—Optimization, genetic algorithm, earthquake, neural networks, self-organizing map, radial basis function.

Alireza Lavaei and Alireza Lohrasbi are with Department of Civil engineering, College of engineering, Boroujerd Branch, Islamic Azad University, Iran (e-mail: Shetab@gmail.com, Ar_lohrasbi@yahoo.com).


Cite: Alireza Lavaei and Alireza Lohrasbi, "Dynamic Optimization of Structures Subjected to Earthquake," International Journal of Engineering and Technology vol. 8, no. 4, pp. 227-233, 2016.

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