الفهرس 
LATERAL LOAD-RESISTING SYSTEMSOnly 14 pages are availabe for public view
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Abstract
Masonry infill panels have been widely used as interior and exterior partition walls for aesthetic reasons and functional needs. However, for engineering practitioners the analysis of infilled frames is so tedious and a more simplified tool is needed and Artificial Neural Network (ANN) is employed for that purpose. To develop a reliable ANN system, push over analysis of 2380 masonry infilled frames subjected to equivalent static loading with nonlinear finite element analysis is investigated using ANSYS (ver. 15.0) The incentive of developing this ANN is to evaluate the lateral resistance of typical School building in Egypt. The results of the tremendous permutation of case studies were used for the training, testing and cross validation of several Predictive Networks (P-ANN).The approach has been used to explore the effects of imposing different masonry infill distributions throughout typical internal and external frames of two bays with three, four and five stories. The material nonlinearity of the reinforced concrete infilled frames taking into account the presence of the steel reinforcement together with cracking, crushing, shear retention and nonlinear stress-strain relation of concrete is considered. The infill panel material nonlinearity due to cracking and crushing are also considered.