Study of Pile Cap Lateral Resistance using Artificial Neural Networks
Author(s) -
Utpal Kumar Nath,
Palash Jyoti Hazarika
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/2475-3329
Subject(s) - computer science , pile , artificial neural network , resistance (ecology) , artificial intelligence , algorithm , ecology , biology
The lateral resistance provided by pile caps is often significant, and that in many cases the cap resistance is as large as the lateral resistance provided by the piles themselves. An artificial neural network (ANN) model has been developed to study the pile cap resistance under lateral load. The model test facility was developed and the data generated from this facility were used for both training and testing of the ANN model. The observed agreement between the findings from the experimentation and the predictions indicate that the model is capable of effectively capturing the phenomenon. From the results of few full scale tests, model test and analytical studies demonstrate about the pile cap lateral resistance. This developed ANN model can be effectively used to study the influences of the different parameter on lateral resistance of pile cap.
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