Advertisement

Discussion of “An analytical probabilistic analysis of slopes based on limit equilibrium methods” by A. Johari, S. Mousavi. November 2018, DOI: https://doi.org/10.1007/s10064-018-1408-1

  • Reza Jamshidi ChenariEmail author
  • Ardavan Izadi
Discussion
  • 26 Downloads

Abstract

The authors, having a long and abiding interest in analytical and numerical approaches to evaluate stability problems such as slope stability analysis in the stochastic soil mechanics discipline incorporating the random field theory, welcome the paper by Johari and Mousavi (Bull Eng Geol Environ 2018:1–15, 2018) for their efforts to evaluate the reliability of four different commonly used limit equilibrium method approches for slope stability evaluations, including simplified Bishop, simplified Janbu, Morgenstern-Price, and Spencer. The application of jointly distributed random variables, as an alternative method of Monte-Carlo simulations, in probabilistic analysis with the advantage of approaching more accurate solutions in a lower computational time, a truncated normal probability distribution function, and an optimization procedure with a particle swarm optimization technique, are some appealing aspects of the Johari and Mousavi’s slope stability analyses. However, we would like to point out some considerations which are fundamental for carrying out an analytical probabilistic analysis of slopes based on limit equilibrium.

Keywords

Limit Equilibrium Slope Stability Monte Carlo Simulaton Stochastic Probabilistic 

References

  1. Cheng H, Zhou X (2015) A novel displacement-based rigorous limit equilibrium method for three-dimensional landslide stability analysis. Can Geotech J 52(12):2055–2066CrossRefGoogle Scholar
  2. Gravanis E, Pantelidis L, Griffiths DV (2014) An analytical solution in probabilistic rock slope stability assessment based on random fields. Int J Rock Mech Min Sci 71:19–24CrossRefGoogle Scholar
  3. Jamshidi Chenari R, Zamanzadeh M (2016) Uncertainty assessment of critical excavation depth of vertical unsupported cuts in undrained clay using random field theorem. Sci Iran Trans A 23(3):864–875Google Scholar
  4. Javankhoshdel S, Bathurst RJ (2014) Simplified probabilistic slope stability design charts for cohesive and cohesive-frictional (c-ϕ) soils. Can Geotech J 51(9):1033–1045CrossRefGoogle Scholar
  5. Javankhoshdel S, Luo N, Bathurst RJ (2017) Probabilistic analysis of simple slopes with cohesive soil strength using RLEM and RFEM. Georisk: Ast Mgnt Risk Engineered Syst Geohazards 11(3):231–246Google Scholar
  6. Johari A, Mousavi S (2018) An analytical probabilistic analysis of slopes based on limit equilibrium methods. Bull Eng Geol Environ 2018:1–15Google Scholar
  7. Pishgah Gilani P, Jamshidi Chenari R (2011) Discussion of “probabilistic analysis of coupled soil consolidation” by Jinsong Huang, DV Griffiths, and Gordon a. Fenton. J Geotech Geoenviron 137(9):857–858CrossRefGoogle Scholar
  8. Zhang J, Zhang LM, Tang WH (2011) New methods for system reliability analysis of soil slopes. Can Geotech J 48(7):1138–1148CrossRefGoogle Scholar
  9. Zhang J, Huang HW, Juang CH, Li DQ (2013) Extension of Hassan and Wolff method for system reliability analysis of soil slopes. Eng Geol 160:81–88CrossRefGoogle Scholar
  10. Zhou XP, Cheng H (2013) Analysis of stability of three-dimensional slopes using the rigorous limit equilibrium method. Eng Geol 160:21–33CrossRefGoogle Scholar
  11. Zhou XP, Zhu BZ, Juang CH, Wong LNY (2018) A stability analysis of a layered-soil slope based on random field. Bull Eng Geol Environ 2018:1–15Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil Engineering, Faculty of EngineeringUniversity of GuilanRashtIran

Personalised recommendations