Prediction of Coefficient of Lateral Earth Pressure Using Artificial Neural Networks

 

Sarat Kumar Das

Research Scholar, Department of Civil Engineering
Indian Institute of Technology Kanpur, India
E-Mail: sarat@iitk.ac.in or saratdas@rediffmail.com

and

Prabir Kumar Basudhar

Professor, Department of Civil Engineering
Indian Institute of Technology Kanpur, India
E-Mail: pkbd@iitk.ac.in

ABSTRACT

This paper describes the use of artificial neural network (ANN) for prediction of lateral earth pressure ratio (K0) based on dilatometer test results. Feed forward back propagation neural networks have been used and the best model is chosen based on different statistical parameters. The best fit line for predicted K0 (K0p) and observed K0 (K0obs), correlation coefficient, coefficient of determination, and the mean and standard deviation of the ratio K0p/K0obs are used to compare different ANN models . The importance of using different statistical criteria for the evaluations of the ANN models is discussed. Using sensitivity analysis, the parameters influencing the value of K0 are identified.

Keywords: Earth pressure coefficient, K0, ANN

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