Using MLP models to predict bearing capacity of shallow foundations based on multi layer subsoil

چکیده مقاله

There are several methods to investigate the bearing capacity of shallow foundations Majority of these methods are only compatible with homogeneous or up to two layer foundation soils In reality, footingsare most likely to be founded on multi layered soils The most common approach to predict the bearing capacity of shallow foundations in these cases is numerical methods As an alternative approach, an artificial neural network trained with datasets are derived from numerical methods can be used The most advantage of this approach is that it is simpler and faster than the other methods, moreover there is noneed to have any knowledge about software and numerical method So there is a model based on multilayer perceptrons MLPs which can predict the bearing capacity of foundations Bearing capacity results obtained by MLP are compared with the predicted values of traditional methods The results indicate that ANNs are able to predict the bearing capacity of strip footings and outperform the existing methods

کلیدواژه‌ها

نویسندگان

Abdolhossein Haddad

Department of Civil Engineering, Semnan University, Iran

Marziyeh Hassan Abadi

Abdolhossein Haddad Department of Civil Engineering, Semnan University, Iran

Haddad, Abdolhossein and Hassan Abadi, Marziyeh,1391,Using MLP models to predict bearing capacity of shallow foundations based on multi layer subsoil,9th International Congress on Civil Engineering,Isfahan

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