The Accelerogram-Based Probabilistic Analysis of Slope Stability
- Authors: Kang K.1, Zerkal O.V.1, Fomenko I.K.2, Pavlenko O.V.3
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Affiliations:
- Geological Faculty, Lomonosov Moscow State University
- Faculty of Hydrogeology, Russian State Geological Prospecting University named after Sergo Ordzhonikidze
- Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
- Issue: Vol 56, No 2 (2019)
- Pages: 71-76
- Section: Soil Mechanics
- URL: https://journals.rcsi.science/0038-0741/article/view/244221
- DOI: https://doi.org/10.1007/s11204-019-09572-z
- ID: 244221
Cite item
Abstract
This study sought to assess the probabilistic stability of slope analysis under seismic conditions in the middle of the Mzymta River Valley in Russia's Greater Sochi. In probabilistic analysis, almost all input parameters can be assigned a probability distribution; however, the seismic coefficient probability distribution has been difficult to define in previous studies. This study aims to assign a probability distribution to the seismic coefficient based on seismogram acceleration distribution. The study showed that seismogram-based probabilistic analysis is a feasible way to assess slope stability.
About the authors
K. Kang
Geological Faculty, Lomonosov Moscow State University
Author for correspondence.
Email: kevinkang8@mail.ru
Russian Federation, Moscow
O. V. Zerkal
Geological Faculty, Lomonosov Moscow State University
Email: kevinkang8@mail.ru
Russian Federation, Moscow
I. K. Fomenko
Faculty of Hydrogeology, Russian State Geological Prospecting University named after Sergo Ordzhonikidze
Email: kevinkang8@mail.ru
Russian Federation, Moscow
O. V. Pavlenko
Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Email: kevinkang8@mail.ru
Russian Federation, Moscow
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