Prediction of California bearing ratio (CBR) of fine grained soils by AI methods

Kin Mak Wai. California bearing ratio correlation with soil index properties master of engineering (civil–geotechnics), Faculty of Civil Engineering, University Teknology Malaysia; 2006.

Black, 1962, A method of estimating the CBR of cohesive soils from plasticity data, Geotechnique, 12, 271, 10.1680/geot.1962.12.4.271

De Graft-Johnson JWS, Bhatia HS. The engineering characteristics of the lateritic gravels of Ghana. In: Proceedings of 7th international conference on soil mechanics and foundation engineering, vol. 2, Mexico, August 28–29. Bangkok: Asian Institute of Technology; 1969. p. 13–43.

Agarwal KB, Ghanekar KD. Prediction of CBR from plasticity characteristics of soil. In: Proceeding of 2nd south-east Asian conference on soil engineering, Singapore, June 11–15, 1970. Bangkok: Asian Institute of Technology; 1970. p. 571–6.

National Cooperative Highway Research Program. Guide for mechanistic and empirical – design for new and rehabilitated pavement structures, final document. In: Appendix CC-1: correlation of CBR values with soil ındex properties. West University Avenue Champaign, Illinois: Ara, Inc.; 2001.

Doshi SN, Mesdary MS, Guirguis HR. Conference: statistical study of laboratory CBR for Kuwaiti soils. In: Fourth conference of the road engineering association of Asia and Australasia, vol. 2, Jakarta; 1983. p. 43–51.

Stephens, 1990, Prediction of the California bearing ratio, Civ Eng South Africa, 32, 523

The Highway Agency. Design manual for roads and bridges, vol. 7. London: Stationery Ltd.; 1994. Section 2, Part 2 HD 25/94.

Basma, 2004, Modeling soil collapse by artificial neural networks, Geotech Geol Eng, 22, 427, 10.1023/B:GEGE.0000025044.72718.db

Moosavi, 2006, Modeling the cyclic swelling pressure of mudrock using artificial neural Networks, Eng Geol, 87, 178, 10.1016/j.enggeo.2006.07.001

Demuth, 2001

Ferreira, 2001, Gene expression programming: a new adaptive algorithm for solving problems, Complex Syst, 13, 87

Muñoz DG. Discovering unknown equations that describe large data sets using genetic programming techniques. Master thesis in Electronic Systems at Linköping Institute of Technology; 2005. LITH-ISY-EX-05/3697.

Cevik, 2007, A new formulation for longitudinally stiffened webs subjected to patch loading, J. Constr Steel Res, 63, 1328, 10.1016/j.jcsr.2006.12.004

Teodorescu, 2002, High energy physics event selection with gene expression programming, Comput Phys Commun, 178, 409, 10.1016/j.cpc.2007.10.003

Sherrod PH. DTREG predictive modeling software; 2008. <http://www.dtreg.com/>.

Smith, 1986