Details
| Original language | English |
|---|---|
| Title of host publication | Geo-Risk 2023 |
| Editors | Jianye Ching, Shadi Najjar, Lei Wang |
| Publisher | American Society of Civil Engineers (ASCE) |
| Pages | 287-297 |
| Number of pages | 11 |
| Volume | 4: Advances in Modeling Uncertainty and Variability |
| Edition | GSP 347 |
| ISBN (electronic) | 9780784484968, 9780784484975, 9780784484982, 9780784484999 |
| Publication status | Published - 2023 |
| Event | Geo-Risk Conference 2023: Advances in Modeling Uncertainty and Variability - Arlington, United States Duration: 23 Jul 2023 → 26 Jul 2023 |
Publication series
| Name | Geotechnical Special Publication |
|---|---|
| Volume | 346 |
| ISSN (Print) | 0895-0563 |
Abstract
Spatial uncertainty of soil parameters has a significant impact on the analysis of slope stability. Interval field analysis is emerging as a complementary tool of the conventional random field method that can take spatial uncertainty into account. This approach has not been investigated in slope stability analysis. The present paper proposes a new method, named the interval field limit equilibrium method (IFLEM), for assessing the stability of slope in the presence of the interval field. In this method, the modified exponential function is introduced to characterize the spatial uncertainty of the interval field, and the Karhunen-Loève-like decomposition is employed to generate the interval field. Then, in a single calculation, the deterministic slope stability analyzed by the Morgenstern-Price approach is implemented in order to estimate the safety factor. Subsequently, the upper and lower bounds of the interval of safety factor are efficiently evaluated by a kind of surrogate-assisted global optimization algorithms, such as Bayesian global optimization (BGO) used in this study. Finally, the effectiveness of the proposed method is verified by the numerical example. The results indicate that the proposed method can provide reasonable accuracy and efficiency, which is potentially applicable to a number of geotechnical systems.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Architecture
- Engineering(all)
- Building and Construction
- Earth and Planetary Sciences(all)
- Geotechnical Engineering and Engineering Geology
Cite this
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Geo-Risk 2023. ed. / Jianye Ching; Shadi Najjar; Lei Wang. Vol. 4: Advances in Modeling Uncertainty and Variability GSP 347. ed. American Society of Civil Engineers (ASCE), 2023. p. 287-297 (Geotechnical Special Publication; Vol. 346).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Application of Interval Field Method to the Stability Analysis of Slopes in the Presence of Uncertainties
AU - Feng, Chengxin
AU - Faes, Matthias
AU - Broggi, Matteo
AU - Beer, Michael
N1 - Publisher Copyright: © ASCE.
PY - 2023
Y1 - 2023
N2 - Spatial uncertainty of soil parameters has a significant impact on the analysis of slope stability. Interval field analysis is emerging as a complementary tool of the conventional random field method that can take spatial uncertainty into account. This approach has not been investigated in slope stability analysis. The present paper proposes a new method, named the interval field limit equilibrium method (IFLEM), for assessing the stability of slope in the presence of the interval field. In this method, the modified exponential function is introduced to characterize the spatial uncertainty of the interval field, and the Karhunen-Loève-like decomposition is employed to generate the interval field. Then, in a single calculation, the deterministic slope stability analyzed by the Morgenstern-Price approach is implemented in order to estimate the safety factor. Subsequently, the upper and lower bounds of the interval of safety factor are efficiently evaluated by a kind of surrogate-assisted global optimization algorithms, such as Bayesian global optimization (BGO) used in this study. Finally, the effectiveness of the proposed method is verified by the numerical example. The results indicate that the proposed method can provide reasonable accuracy and efficiency, which is potentially applicable to a number of geotechnical systems.
AB - Spatial uncertainty of soil parameters has a significant impact on the analysis of slope stability. Interval field analysis is emerging as a complementary tool of the conventional random field method that can take spatial uncertainty into account. This approach has not been investigated in slope stability analysis. The present paper proposes a new method, named the interval field limit equilibrium method (IFLEM), for assessing the stability of slope in the presence of the interval field. In this method, the modified exponential function is introduced to characterize the spatial uncertainty of the interval field, and the Karhunen-Loève-like decomposition is employed to generate the interval field. Then, in a single calculation, the deterministic slope stability analyzed by the Morgenstern-Price approach is implemented in order to estimate the safety factor. Subsequently, the upper and lower bounds of the interval of safety factor are efficiently evaluated by a kind of surrogate-assisted global optimization algorithms, such as Bayesian global optimization (BGO) used in this study. Finally, the effectiveness of the proposed method is verified by the numerical example. The results indicate that the proposed method can provide reasonable accuracy and efficiency, which is potentially applicable to a number of geotechnical systems.
UR - http://www.scopus.com/inward/record.url?scp=85182325286&partnerID=8YFLogxK
U2 - 10.1061/9780784484999.030
DO - 10.1061/9780784484999.030
M3 - Conference contribution
AN - SCOPUS:85182325286
VL - 4: Advances in Modeling Uncertainty and Variability
T3 - Geotechnical Special Publication
SP - 287
EP - 297
BT - Geo-Risk 2023
A2 - Ching, Jianye
A2 - Najjar, Shadi
A2 - Wang, Lei
PB - American Society of Civil Engineers (ASCE)
T2 - Geo-Risk Conference 2023: Advances in Modeling Uncertainty and Variability
Y2 - 23 July 2023 through 26 July 2023
ER -