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Modelling of structural response and optimization of structural control system using neural network and genetic algorithm

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This paper proposes an integrated approach to the modelling and optimization of structural control systems in tall buildings. In this approach, an artificial neural network is applied to model the structural dynamic responses of tall buildings subjected to strong earthquakes, and a genetic algorithm is used to optimize the design problem of structural control systems, which constitutes a mixed-discrete, nonlinear and multi-modal optimization problem. The neural network model of the structural dynamic response analysis is included in the genetic algorithm and is used as a module of the structural analysis to estimate the dynamic responses of tall buildings. A numerical example is presented in which the general regression neural network is used to model the structural response analysis. The modelling method, procedure and the numerical results are discussed. Two Los Angeles earthquake records are adopted as earthquake excitations. Copyright © 2000 John Wiley & Sons, Ltd.
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Document Type: Research Article

Affiliations: 1: Department of Building and Construction, City University of Hong Kong, Hong Kong, People's Republic of China 2: Department of Mechanical Engineering and Manufacturing, University of Technology, Sydney, Australia

Publication date: 01 September 2000

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