References
1. Tarantino, A. and El Mountassir, G. Making unsaturated
soil mechanics accessible for engineers: Preliminary
hydraulic-mechanical characterisation stability
assessment", Eng. Geol., 165, pp. 89-104 (2013).
2. Fredlund, D.G. and Rahardjo, H., Soil Mechanics for
Unsaturated Soils, John Wiley & Sons (1993).
3. Bergardo, D.T. and Anderson, L.R. Stochastic analysis
of pore pressure uncertainty for the probabilistic
assessment of the safety of earth slopes", Soils Found,
25(2), pp. 85-105 (1985).
4. Gui, S., Zhang, R., Turner, J.P., and Xue, X. Probabilistic
slope stability analysis with stochastic soil
hydraulic conductivity", J. Geotech. Geoenvironmental
Eng., 126(1), pp. 1-9 (2000).
5. Sivakumar Babu, G.L. and Murthy, D.S. Reliability
analysis of unsaturated soil slopes", J. Geotech. Geoenvironmental
Eng., 131(11), pp. 1423-1428 (2005).
6. Wol, T.F. Probabilistic slope stability in theory and
practice", Uncertainty in the Geologic Environment
from Theory to Practice, pp. 419-433 (1996).
7. U.S. Army Corps of Engineers, Risk-Based Analysis
in Geotechnical Engineering for Support of Planning
Studies, Department of the Army, Washington, DC
(1998).
8. Ali, A., Huang, J., Lyamin, A.V., Sloan, S.W., Grif-
ths, D.V., Cassidy, M.J., and Li, J.H. Simplied
quantitative risk assessment of rainfall-induced landslides
modelled by innite slopes", Eng. Geol., 179,
pp. 102-116 (2014).
9. Cho, S.E. Probabilistic stability analysis of rainfallinduced
landslides considering spatial variability of
permeability", Eng. Geol., 171, pp. 11-20 (2014).
10. Zhang, J., Huang, H.W., Zhang, L.M., Zhu, H.H., and
Shi, B. Probabilistic prediction of rainfall-induced
slope failure using a mechanics-based model", 168, pp.
129-140 (2014).
A. Johari et al./Scientia Iranica, Transactions A: Civil Engineering 25 (2018) 2039{2050 2049
11. Ng, C.W. and Menzies, B., Advanced Unsaturated Soil
Mechanics and Engineering, CRC Press (2007).
12. Bishop, A.W. and Morgenstern, N. Stability coe-
cients for earth slopes", Geotechnique, 10(4), pp. 129-
153 (1960).
13. Johari, A. and Hooshmandnejad, A. Prediction of
soil-water characteristic curve using gene expression
programming", Iran. J. Sci. Technol. Trans. Civ. Eng.,
39(C1), pp. 143-165 (2015).
14. SoilVision 2002, SoilVision System Ltd., Sask.,
Saskatchewan."
15. Green, W.H. and Ampt, G. Studies of soil physics,
Part I - The
ow of air and water through soils", Agric
Sci, 4, pp. 1-24 (1911).
16. Richards, L.A. Capillary conduction of liquids
through porous mediums", Phys., 1, pp. 318-333
(1931).
17. Simunek, J., Van Genuchten, M., and Sejna, M. The
Hydrus-1D software package for simulating the movement
of water, heat, and multiple solutes in variably
saturated media, Version 4.16, HYDRUS Software
Series 3", Dep. Environ. Sci. Univ. Calif. Riverside
Riverside Calif. USA, p. 340 (2013).
18. Kennedy, J. Particle swarm optimization", in Encyclopedia
of Machine Learning, C. Sammut and G.I.
Webb, Eds. Springer US, pp. 760-766 (2010).
19. Poli, R., Kennedy, J., and Blackwell, T. Particle
swarm optimization", Swarm Intell., 1(1), pp. 33-57
(2007).
20. Kennedy, J. and Eberhart, R. Particle swarm optimization",
in IEEE International Conference on Neural
Networks, Proceedings, 4, pp. 1942-1948 (1995).
21. Griths, D.V. and Lu, N. Unsaturated slope stability
analysis with steady inltration or evaporation using
elasto-plastic nite elements", Int. J. Numer. Anal.
Methods Geomech., 29(3), pp. 249-267 (2005).
22. Griths, D.V., Huang, J., and Fenton, G.A. In
uence
of spatial variability on slope reliability using 2-D
random elds", J. Geotech. Geoenvironmental Eng.,
135(10) (2009).
23. Faradonbeh, R.S., Armaghani, D.J., Monjezi, M.,
and Mohamad, E.T. Genetic programming and gene
expression programming for
yrock assessment due to
mine blasting", Int. J. Rock Mech. Min. Sci., 88, pp.
254-264 (2016).
24. Alkroosh, I. and Nikraz, H. Predicting pile dynamic
capacity via application of an evolutionary algorithm",
Soils Found., 54(2), pp. 233-242 (2014).
25. Mollahasani, A., Alavi, A.H., and Gandomi, A.H.
Empirical modeling of plate load test moduli of soil
via gene expression programming", Comput. Geotech.,
38(2), pp. 281-286 (2011).
26. Johari, A., Javadi, A.A., and Naja, H. A genetic
based model to predict of maximum lateral displacement
of retaining wall in granular soil", Sci. Iran.,
23(1), pp. 54-65 (2016).
27. Taormina, R. and Chau, K.-W. Data-driven input
variable selection for rainfall-runo modeling using
binary-coded particle swarm optimization and extreme
learning machines", J. Hydrol., 529(3), pp. 1617-1632
(2015).
28. Wu, C.L., Chau, K.W., and Li, Y.S. Methods to
improve neural network performance in daily
ows
prediction", J. Hydrol., 372(1-4), pp. 80-93 (2009).
29. Chen, X.Y., Chau, K.W., and Busari, A.O. A
comparative study of population-based optimization
algorithms for downstream river
ow forecasting by
a hybrid neural network model", Eng. Appl. Artif.
Intell., 46(A), pp. 258-268 (2015).
30. Ferreira, C. Gene expression programming: a new
adaptive algorithm for solving problems", ArXiv
Prepr. Cs0102027 (2001).
31. Javankhoshdel, S. and Bathurst, R.J. Simplied probabilistic
slope stability design charts for cohesive and
c-' soils", Can Geotech J, 51(9), pp. 1033-1045 (2014).
32. Phoon, K.-K. and Kulhawy, F.H. Characterization of
geotechnical variability.", Can Geotech J, 36(4), pp.
612-624 (1999).
33. GEPSOFT. GeneXproTools. Version 4.0. Available
online: http://www.gepsoft.com (2006).
34. Johari, A. and Khodaparast, A.R. Modelling of
probability liquefaction based on standard penetration
tests using the jointly distributed random variables
method", Engineering Geology, 158, pp. 1-14 (2013).
35. Johari, A., Mousavi, S., and Hooshmand Nejad, A.
A seismic slope stability probabilistic model based on
Bishop's method using analytical approach", Scientia
Iranica, 22(3), pp. 728-741 (2015).