Computation of Stresses in Concrete Gravity Dam Under Seismic Loading Through ANN and FEM
چکیده مقاله :
In this study, an Artificial Neural Networks (ANN) model is designed and verified for quick estimation of the structural parameter (maximum principle stresses at toe and heel) developed on a concrete gravity dam under earthquake loading. The neural network model “neuro-modeler” is designed to predict the response parameters of dam. Five different typical geometric configurations are used in the data generation for training of neuro-modeler. Several factors as geometric configuration representative parameters are proposed and successfully used in the study. Designed “neuro-modeler” is tested for several earthquake records. The results showed an excellent capability of the model to predict the outputs with high accuracy and reduced computational time.
توضیحات تکمیلی :
مقاله ISI انگلیسی اصلی
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 5 صفحه