Correlation of Pile Axial Capacity and CPT Data Using Gene Expression Programming

Author:

Alkroosh I.,Nikraz H.

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Reference31 articles.

1. Abu-Farsakh M, Titi H (2004) Assesment of direct cone penetration test methods for predicting the ultimate capacity of friction driven piles. J Geotech Environ Eng ASCE 130(9):935–944

2. Abu-Kiefa M (1998) General regression neural networks for driven piles in cohesionless soils. J Geotech Geoenviron Eng 124(12):1177–1185

3. Alsamman O (1995) The use of the CPT for calculating axial capacity of drilled shafts. PhD Thesis, University of Illinois, Urbana

4. Ardalan H, Eslami A, Nariman-Zadeh N (2009) Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms. Comput Geotech 36:616–625

5. Briaud J (1988) Evaluation of cone penetration test methods using 98 Ple load tests. In: Proceedings of the first international symposium on penetration testing, ISOPT-1, Orlando, vol 2, pp 687–697

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