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Artificial Neural Network Prediction of Stability Numbers for Two-layered Slopes with Associated Flow Rule
Research Scholar, Department of Civil Engineering, Indian Institute of Science, Bangalore, India. Bimlesh Kumar Research Scholar, Department of Civil Engineering, Indian Institute of Science, Bangalore, India | |
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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 backpropagation 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.
Keywords: Stability number, friction angle, pore water pressure, ANN, Levenberg- Marquadt, slopes, upper bound limit analysis.
