NDLI: Constitutive modeling of Leighton Buzzard Sands using genetic programming

Content Provider	Springer Nature Link
Author	Cabalar, Ali Firat Cevik, Abdulkadir Guzelbey, Ibrahim Halil
Copyright Year	2009
Abstract	This paper investigates the results of laboratory experiments and numerical simulations conducted to examine the behavior of mixtures composed of coarse (i.e. Leighton Buzzard Sand fraction B) and fine (i.e. Leighton Buzzard Sand fraction E) sand particles. Emphasis was placed on assessing the role of fines content in mixture and strain level on the deviatoric stress and pore water pressure generation using experimental (i.e. Triaxial testing) and numerical approaches (i.e. genetic programming, GP). The experimental database used for GP modeling is based on a laboratory study of the properties of saturated coarse and fine sand mixtures with various mix ratios under a 100 kPa effective stresses in a 100 mm diameter conventional triaxial testing apparatus. Experimental results show that coarse–fine sand mixtures exhibit clay-like behavior due to particle–particle effects with the increase in fines content. It is shown that GP modeling of coarse–fine sand mixtures is observed to be quite satisfactory. The results have implications in the design of compressible particulate systems and in the development of prediction tools for the field performance coarse–fine sands.
Starting Page	657
Ending Page	665
Page Count	9
File Format	PDF
ISSN	09410643
Journal	Neural Computing and Applications
Volume Number	19
Issue Number	5
e-ISSN	14333058
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-11-01
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Leighton Buzzard Sand fraction B Leighton Buzzard Sand fraction E Triaxial testing Genetic programming Simulation and Modeling
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software

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