Anartificial Neural Network for Prediction of Seismic Behavior in RC Buildings with and Without Infill Walls
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 5
Abstract
In this study the influence of masonry infill walls on the seismicbehavior of RC frames with help of ETABS software were studied.Pushover analysis on buildings with five, seven, nine and eleven storey with symmetrical in the plan was carried out.And trial model with thirteenstorey was created for testing in ArtificialNeural Network (ANN).Each structure was modeled in two different types, such as RC bare frame and RC frame with masonry infill walls.In the present paper infill walls are modeled as equivalent diagonal strut. In this type of molding infill wall behaves like compression strut, as suggested in FEMA 365, 2000
Authors and Affiliations
Mohammad ParsaeiMaram, Dr. K Rama Rao, Ali Poursalehi
Keywords
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