Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 04024113 |
| Seitenumfang | 10 |
| Fachzeitschrift | International Journal of Geomechanics |
| Jahrgang | 24 |
| Ausgabenummer | 7 |
| Frühes Online-Datum | 17 Apr. 2024 |
| Publikationsstatus | Veröffentlicht - Juli 2024 |
Abstract
Risk assessment of seismically loaded slopes is often a prerequisite for guiding decision-making and mitigation, which could be more difficult to quantify when taking the spatial variability of material properties into account. In this study, a random finite-element limit analysis (RFELA) is developed to assess the risk of a seismically loaded slope where the undrained shear strength of soils is spatially variable with depth. The nonstationary random field is first introduced to model the linearly increasing undrained shear strength. Then, finite-element limit analysis (FELA) is employed to evaluate the seismic stability and consequence, in which the seismic loading is characterized by the pseudostatic approach with a range of horizontal seismic coefficients. Finally, the quantitative risk assessment is conducted based on Monte Carlo simulations. The results show that using the nonstationary random field to model the soil spatial variability could significantly reduce the risk compared with the stationary random field, which matches better with the site-specific data. The risk of the slope failure increases with the increase in the seismic coefficient. In addition, the effects of the correlation structure of the undrained shear strength, which includes the coefficient of variation (COV) and autocorrelation distance, on the risk assessment are studied by parametric analyses.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Geotechnik und Ingenieurgeologie
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in: International Journal of Geomechanics, Jahrgang 24, Nr. 7, 04024113, 07.2024.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Quantitative Risk Assessment of Seismically Loaded Slopes in Spatially Variable Soils with Depth-Dependent Strength
AU - Liao, Kang
AU - Wu, Yiping
AU - Miao, Fasheng
AU - Pan, Yutao
AU - Beer, Michael
N1 - Publisher Copyright: © 2024 American Society of Civil Engineers.
PY - 2024/7
Y1 - 2024/7
N2 - Risk assessment of seismically loaded slopes is often a prerequisite for guiding decision-making and mitigation, which could be more difficult to quantify when taking the spatial variability of material properties into account. In this study, a random finite-element limit analysis (RFELA) is developed to assess the risk of a seismically loaded slope where the undrained shear strength of soils is spatially variable with depth. The nonstationary random field is first introduced to model the linearly increasing undrained shear strength. Then, finite-element limit analysis (FELA) is employed to evaluate the seismic stability and consequence, in which the seismic loading is characterized by the pseudostatic approach with a range of horizontal seismic coefficients. Finally, the quantitative risk assessment is conducted based on Monte Carlo simulations. The results show that using the nonstationary random field to model the soil spatial variability could significantly reduce the risk compared with the stationary random field, which matches better with the site-specific data. The risk of the slope failure increases with the increase in the seismic coefficient. In addition, the effects of the correlation structure of the undrained shear strength, which includes the coefficient of variation (COV) and autocorrelation distance, on the risk assessment are studied by parametric analyses.
AB - Risk assessment of seismically loaded slopes is often a prerequisite for guiding decision-making and mitigation, which could be more difficult to quantify when taking the spatial variability of material properties into account. In this study, a random finite-element limit analysis (RFELA) is developed to assess the risk of a seismically loaded slope where the undrained shear strength of soils is spatially variable with depth. The nonstationary random field is first introduced to model the linearly increasing undrained shear strength. Then, finite-element limit analysis (FELA) is employed to evaluate the seismic stability and consequence, in which the seismic loading is characterized by the pseudostatic approach with a range of horizontal seismic coefficients. Finally, the quantitative risk assessment is conducted based on Monte Carlo simulations. The results show that using the nonstationary random field to model the soil spatial variability could significantly reduce the risk compared with the stationary random field, which matches better with the site-specific data. The risk of the slope failure increases with the increase in the seismic coefficient. In addition, the effects of the correlation structure of the undrained shear strength, which includes the coefficient of variation (COV) and autocorrelation distance, on the risk assessment are studied by parametric analyses.
KW - Nonstationary random field
KW - Random finite-element limit analysis
KW - Risk assessment
KW - Seismically loaded slopes
KW - Spatial variability
UR - http://www.scopus.com/inward/record.url?scp=85190956203&partnerID=8YFLogxK
U2 - 10.1061/IJGNAI.GMENG-9001
DO - 10.1061/IJGNAI.GMENG-9001
M3 - Article
AN - SCOPUS:85190956203
VL - 24
JO - International Journal of Geomechanics
JF - International Journal of Geomechanics
SN - 1532-3641
IS - 7
M1 - 04024113
ER -