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
سال انتشار:2017
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 5 صفحه


نویسندگان/توضیحات : مقاله ISI سال انتشار2017 \ Mohd.SaqibaMd. ImteyazAnsarib
تاریخ ارسال : 1397/10/19
تعداد بازدید : 333
کلمات کلیدی : Artificial Neural NetworkConcrete Gravity DamEarthquake loading
تعداد صفحات : 5
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