Artificial Neural Network Prediction of Stability Numbers for Two-layered Slopes with Associated Flow Rule

Samui, Pijush and Kumar, Bimlesh (2006) Artificial Neural Network Prediction of Stability Numbers for Two-layered Slopes with Associated Flow Rule. [Preprint] (Unpublished)

Preview

PDF Artificial_Neural_Network.pdf Download (243kB)

Abstract

The design of earthen embankments is quite often carried out with the use of stability number charts as originally introduced by Taylor. However, such charts are not easily available for the layered soil slopes with the inclusion of pore water pressure and seismic forces. In this paper, a neural network modeling using back propagation technique was done to predict the stability numbers for two layered soil slopes. The effect of the pore water pressure and horizontal earthquake body forces was also incorporated in this modeling. Comparisons were made by through literature results. A thorough sensitive analysis has been made to ascertain which parameters are having maximum influence on stability numbers.

Item Type:	Preprint
Publication:	The Electronic Journal of Geotechnical Engineering
Publisher:	The Internet Geotechnical Engineering Magazine
Additional Information:	The Article will shortly be available in The Internet Geotechnical Engineering Magazine.
Keywords:	Stability number;friction angle;pore water pressure;ANN;Levenberg-Marquadt;slopes;upper bound limit analysis
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	03 Mar 2006
Last Modified:	19 Sep 2010 04:24
URI:	http://eprints.iisc.ac.in/id/eprint/5750

Actions (login required)

View Item