Dynamic Optimization of Structures Subjected to Earthquake

Alireza Lavaei, Alireza Lohrasbi
2016 International Journal of Engineering and Technology  
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
more » ... 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.
doi:10.7763/ijet.2016.v8.890 fatcat:siyyyde6hvd5heyfzxyebd3c6e