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

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 201...

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Vydáno v:Bulletin of engineering geology and the environment Ročník 78; číslo 7; s. 5511 - 5515
Hlavní autoři: Jamshidi Chenari, Reza, Izadi, Ardavan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2019
Springer Nature B.V
Témata:
Analysis
Computer applications
Computer simulation
Computing time
Discussion
Distribution functions
Earth and Environmental Science
Earth Sciences
Equilibrium
Equilibrium methods
Field theory
Foundations
Geoecology/Natural Processes
Geoengineering
Geological engineering
Geotechnical Engineering & Applied Earth Sciences
Hydraulics
Monte Carlo simulation
Nature Conservation
Optimization techniques
Particle swarm optimization
Probabilistic analysis
Probability distribution
Probability distribution functions
Probability theory
Random variables
Reliability analysis
Slope stability
Slopes
Soil
Soil mechanics
Soil stability
Solutions
Stability analysis
Statistical analysis
Stochastic processes
Slope Stability
Stochastic
Monte Carlo Simulaton
Limit Equilibrium
Probabilistic
ISSN:1435-9529, 1435-9537
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Shrnutí: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.
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ISSN:1435-9529
1435-9537
DOI:10.1007/s10064-019-01473-7