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

This paper proposes an integrated approach to the modelling and optimizatio n of structural control systems in tall buildings. In this approach, an art ificial 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, whic h constitutes a mixed-discrete, nonlinear and multi-modal optimization prob lem. The neural network model of the structural dynamic response analysis i s included in the genetic algorithm and is used as a module of the structur al analysis to estimate the dynamic responses of tall buildings. A numerica l example is presented in which the general regression neural network is us ed to model the structural response analysis. The modelling method, procedu re and the numerical results are discussed. Two Los Angeles earthquake reco rds are adopted as earthquake excitations. Copyright (C) 2000 John Wiley & Sons, Ltd.