Prediction of Field Hydraulic Conductivity of Clay Liners Using an Artificial Neural Network and Support Vector Machine
Publication: International Journal of Geomechanics
Volume 12, Issue 5
Abstract
This paper describes the application of artificial neural network (ANN) and support vector machine (SVM) methods for prediction of field hydraulic conductivity of clay liners based on in situ test results such as compaction characteristics, lift thickness, number of lift, and soil classification tests like Atterberg’s limits and grain size. Statistical performances criteria, root mean square error, correlation coefficient, coefficient of determination, and overfitting ratio are used to compare different ANN and SVM models. Different algorithms are discussed for identification of important soil parameters affecting the hydraulic conductivity of clay liners. A model equation based on the parameters obtained using SVM is also discussed.
Get full access to this article
View all available purchase options and get full access to this article.
References
Aubertin, M., Chapuis, R. P., and Mbonimpa, M. (2005). “Discussion of ‘Goodbye, Hazen; hello, Kozeny-Carman’ by W. D. Carrier III.”J. Geotech. Geoenviron. Eng., 131(8), 1056–1057.
Basheer, I. A. (2001). “Empirical modeling of the compaction curve of cohesive soil.” Can. Geotech. J., 38(1), 29–45.
Benson, C. H., Daniel, D. E., and Boutwell, G. P. (1999). “Field performance of compacted clay liners.” J. Geotech. Geoenviron. Eng., 125(5), 390–403.
Benson, C. H., Gunter, J. A., Boutwell, G. P., Trautwein, S. J., and Berzanskis, P. H. (1997). “Comparison of four methods to assess hydraulic conductivity.” J. Geotech. Geoenviron. Eng., 123(10), 929–937.
Benson, C. H., Zhai, H., and Wang, X. (1994). “Estimation of hydraulic conductivity of compacted clay liners.” J. Geotech. Eng., 120(2), 366–387.
Carrier, W. D. (2003). “Goodbye, Hazen; hello, Kozeny-Carman.” J. Geotech. Geoenviron. Eng., 129(11), 1054–1056.
Carrier, W. D., and Beckman, J. F. (1984). “Correlation between test and the properties of remolded clays.” Geotechnique, 34(2), 211–228.
Chapuis, R. P. (2004). “Predicting the saturated hydraulic conductivity of sand and gravel using effective diameter and void ratio.” Can. Geotech. J., 41(5), 787–795.
Chapuis, R. P., and Aubertin, M. (2003). “On the use of the Kozeny-Carman equation to predict the hydraulic conductivity of soils.” Can. Geotech. J., 40(3), 616–618.
Das, S. K., and Basudhar, P. K. (2006). “Undrained lateral load capacity of piles in clay using artificial neural network.” Comput. Geotech., 33(8), 454–459.
Das, S. K., and Basudhar, P. K. (2008). “Prediction of residual friction angle of clays using artificial neural network.” Eng. Geol., 100(3–4), 142–145.
Demuth, H., and Beale, M. (2000). Neural network toolbox, MathWorks, Natick, MA
Erzin, Y., Gumaste, S. D., Gupta, A. K., and Singh, D. N. (2009). “Artificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils.” Can. Geotech. J., 46(8), 955–968.
Garson, G. D. (1991). “Interpreting neural-network connection weights.” Artif. Intelligence Expert, 6(7), 47–51.
Goh, A. T. C. (1995). “Modeling soil correlations using neural network.” J. Comput. Civ. Eng., 9(4), 275–278.
Guyon, I., and Elisseeff, A. (2003). “An introduction to variable and feature selection.” J. Mach. Learn. Res., 3, 1157–1182.
Lambe, T. W., and Whitman, R. V. (1976). Soil mechanics SI version, Wiley, New York.
MathWork version 6.5 [Computer software]. Natick, MA, MathWorks.
McBratney, A. B., Minasny, B., Cattle, S. R., and Vervoort, R. W. (2002). “From pedotransfer function to soil inference system.” Geoderma, 109(1–2), 41–73.
Najjar, Y. M., and Basheer, I. A. (1996). “Utilizing computational neural networks for evaluating the permeability of compacted clay liners.” Geotech. Geol. Eng., 14(3), 193–212.
Samui, P., Sitharam, T. G., and Kurup, P. U. (2008). “OCR prediction using support vector machine based on piezocone data.” J. Geotech. Geoenviron. Eng., 134(6), 894–898.
Shahin, M. A., Maier, H. R., and Jaksa, M. B. (2002). “Predicting settlement of shallow foundations using neural network.” J. Geotech. Geoenviron. Eng., 128(9), 785–793.
Vapnik, V. N. (1998). Statistical learning theory, Wiley, New York.
Wang, X., and Huang, C. (1984). “Soil compaction and permeability prediction models.” J. Geotech. Geoenviron. Eng., 110(6), 1063–1083.
Information & Authors
Information
Published In
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Sep 4, 2009
Accepted: Mar 4, 2011
Published online: Mar 7, 2011
Published in print: Oct 1, 2012
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.