Triaxial behavior of sand-mica mixtures using genetic programming

被引:24
作者
Cabalar, Ali Firat [1 ]
Cevik, Abdulkadir [1 ]
机构
[1] Gaziantep Univ, Dept Civil Engn, Gaziantep, Turkey
关键词
Leighton Buzzard Sand; Mica; Triaxial testing; Genetic programming; Modeling; NEURAL-NETWORKS; MODEL; LIQUEFACTION;
D O I
10.1016/j.eswa.2011.02.051
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study investigates an application of genetic programming (GP) for modeling of coarse rotund sand-mica mixtures. An empirical model equation is developed by means of GP technique. The experimental database used for GP modeling is based on a laboratory study of the properties of saturated coarse rotund sand and mica mixtures with various mix ratios under a 100 kPa effective stresses, because of its unusual behavior. In the tests, deviatoric stress, and pore pressure generation, and strain have been measured in a 100 mm diameter conventional triaxial testing apparatus. The input variables in the developed GP models are the mica content, and strain, and the outputs are deviatoric stress, pore water pressure generation. The performance of accuracies of proposed GP based equations is observed to be quite satisfactory. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:10358 / 10367
页数:10
相关论文
共 49 条
[1]  
Ali HE, 1998, TRANSPORT RES REC, P3
[2]  
[Anonymous], ELECT J GEOTECHNICAL
[3]  
[Anonymous], 2001, The Practical Handbook of Genetic Algorithms. Applications
[4]  
Basheer I.A., 1998, Ph.D. Dissertation
[5]   Site characterization by neuronets: An application to the landfill siting problem [J].
Basheer, IA ;
Reddi, LN ;
Najjar, YM .
GROUND WATER, 1996, 34 (04) :610-617
[6]  
DAFALIAS YF, 1986, J ENG MECH, V112, P173
[7]  
DJONI ES, 2000, THESIS U ILLINOIS UR
[8]  
Ellis G.W., 1992, ENG MECH, P421
[9]   STRESS-STRAIN MODELING OF SANDS USING ARTIFICIAL NEURAL NETWORKS [J].
ELLIS, GW ;
YAO, C ;
ZHAO, R ;
PENUMADU, D .
JOURNAL OF GEOTECHNICAL ENGINEERING-ASCE, 1995, 121 (05) :429-435
[10]  
Ferreira C., 2001, Complex Systems, V13, P87