Artificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils

Author： Erzin Yusuf   Gumaste S. D.   Gupta A. K.   Singh D. N.  

Publisher： NRC Research Press

ISSN： 1208-6010

Source： Canadian Geotechnical Journal, Vol.46, Iss.8, 2009-08, pp. : 955-968

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Continuous determination of drying-path SWRC of fine-grained soils

By Jayanth Sneha   Iyer Kannan   Singh D.N.  

Geomechanics and Geoengineering, Vol. 8, Iss. 1, 2013-03 ,pp. : 28-35

Taylor & Francis Ltd

Access to resources Recommend Favorite

Fundamentals of desiccation cracking of fine-grained soils: experimental characterisation and mechanisms identification

By Peron H.   Hueckel T.   Laloui L.   Hu L. B.  

Canadian Geotechnical Journal, Vol. 46, Iss. 10, 2009-10 ,pp. : 1177-1201

NRC Research Press

Access to resources Recommend Favorite

Modelling the embedment process during offshore pipe-laying on fine-grained soils

By White D.J.   Randolph M.F.  

Canadian Geotechnical Journal, Vol. 50, Iss. 1, 2012-10 ,pp. : 15-27

NRC Research Press

Access to resources Recommend Favorite

Estimating compaction behavior of fine-grained soils based on compaction energy

By Sivrikaya Osman   Togrol Ergun   Kayadelen Cafer  

Canadian Geotechnical Journal, Vol. 45, Iss. 6, 2008-06 ,pp. : 877-887

NRC Research Press

Access to resources Recommend Favorite

Estimation of the segregation potential of fine-grained soils using the frost heave response of two reference soils

By Konrad Jean-Marie  

Canadian Geotechnical Journal, Vol. 42, Iss. 1, 2005-02 ,pp. : 38-50

NRC Research Press

Access to resources Recommend Favorite