The Accelerogram-Based Probabilistic Analysis of Slope Stability
- 作者: Kang K.1, Zerkal O.V.1, Fomenko I.K.2, Pavlenko O.V.3
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隶属关系:
- 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
- 期: 卷 56, 编号 2 (2019)
- 页面: 71-76
- 栏目: Soil Mechanics
- URL: https://journal-vniispk.ru/0038-0741/article/view/244221
- DOI: https://doi.org/10.1007/s11204-019-09572-z
- ID: 244221
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详细
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.
作者简介
K. Kang
Geological Faculty, Lomonosov Moscow State University
编辑信件的主要联系方式.
Email: kevinkang8@mail.ru
俄罗斯联邦, Moscow
O. Zerkal
Geological Faculty, Lomonosov Moscow State University
Email: kevinkang8@mail.ru
俄罗斯联邦, Moscow
I. Fomenko
Faculty of Hydrogeology, Russian State Geological Prospecting University named after Sergo Ordzhonikidze
Email: kevinkang8@mail.ru
俄罗斯联邦, Moscow
O. Pavlenko
Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Email: kevinkang8@mail.ru
俄罗斯联邦, Moscow
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