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PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping
Dynamic Optimization of Structures subject to Earthquakes
A. Lavaei and A. Lohrasbi
Department of Civil Engineering, College of Engineering, Boroujerd Branch, Islamic Azad University, Iran
A. Lavaei, A. Lohrasbi, "Dynamic Optimization of Structures subject to Earthquakes", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 19, 2015. doi:10.4203/ccp.109.19
Keywords: optimization, genetic algorithm, earthquake, neural networks, self-organizing map, radial basis function.
To reduce the overall time of structural optimization for earthquake loads two strategies are adopted. In the first strategy, a neural system consisting of a 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 radial basis function neural network is trained in each class. In the second strategy, an improved genetic algorithm is employed to find the optimum design. A seventy-two 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.
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