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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Azuin Ramli
Politeknik Ungku Omar
Computer Science & IT Engineering

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Slope stability prediction of road embankment on soft ground treated with prefabricated vertical drains using artificial neural network Rufaizal Che Mamat; Abd Manan Samad; Anuar Kasa; Siti Fatin Mohd Razali; Azuin Ramli; Mohd Badrul Hafiz Che Omar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.645 KB) | DOI: 10.11591/ijai.v9.i2.pp236-243

Abstract

This paper presents the slope stability for road embankment constructed on the soft ground treated with prefabricated vertical drains (PVDs). The slope stability was evaluated based on the factor of safety (FOS) through numerical analysis and modeled with an artificial neural network (ANN). The permeability ratio of the smear effect was verified based on a comparative analysis between field data and numerical simulation to develop the datasets used in ANN model training. A total of 75 datasets generated from numerical simulations were randomly selected into three groups for training, testing, and validation. The coefficient of determination (R2) and root mean square error (RMSE) were considered to evaluate the performance ANN model. It was found that the developed ANN model showed strong potential for predicting slope stability within the accepted range.
Co-Authors Abd Manan Samad Anuar Kasa Mohd Badrul Hafiz Che Omar Rufaizal Che Mamat Siti Fatin Mohd Razali