Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1140-1152 |
| Seitenumfang | 13 |
| Fachzeitschrift | Journal of Rock Mechanics and Geotechnical Engineering |
| Jahrgang | 16 |
| Ausgabenummer | 4 |
| Frühes Online-Datum | 4 Nov. 2023 |
| Publikationsstatus | Veröffentlicht - Apr. 2024 |
Abstract
Spatial variability of soil properties imposes a challenge for practical analysis and design in geotechnical engineering. The latter is particularly true for slope stability assessment, where the effects of uncertainty are synthesized in the so-called probability of failure. This probability quantifies the reliability of a slope and its numerical calculation is usually quite involved from a numerical viewpoint. In view of this issue, this paper proposes an approach for failure probability assessment based on Latinized partially stratified sampling and maximum entropy distribution with fractional moments. The spatial variability of geotechnical properties is represented by means of random fields and the Karhunen-Loève expansion. Then, failure probabilities are estimated employing maximum entropy distribution with fractional moments. The application of the proposed approach is examined with two examples: a case study of an undrained slope and a case study of a slope with cross-correlated random fields of strength parameters under a drained slope. The results show that the proposed approach has excellent accuracy and high efficiency, and it can be applied straightforwardly to similar geotechnical engineering problems.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Geotechnik und Ingenieurgeologie
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in: Journal of Rock Mechanics and Geotechnical Engineering, Jahrgang 16, Nr. 4, 04.2024, S. 1140-1152.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments
AU - Feng, Chengxin
AU - Valdebenito, Marcos A.
AU - Chwała, Marcin
AU - Liao, Kang
AU - Broggi, Matteo
AU - Beer, Michael
N1 - Funding Information: We acknowledge the funding support from the China Scholarship Council (CSC).
PY - 2024/4
Y1 - 2024/4
N2 - Spatial variability of soil properties imposes a challenge for practical analysis and design in geotechnical engineering. The latter is particularly true for slope stability assessment, where the effects of uncertainty are synthesized in the so-called probability of failure. This probability quantifies the reliability of a slope and its numerical calculation is usually quite involved from a numerical viewpoint. In view of this issue, this paper proposes an approach for failure probability assessment based on Latinized partially stratified sampling and maximum entropy distribution with fractional moments. The spatial variability of geotechnical properties is represented by means of random fields and the Karhunen-Loève expansion. Then, failure probabilities are estimated employing maximum entropy distribution with fractional moments. The application of the proposed approach is examined with two examples: a case study of an undrained slope and a case study of a slope with cross-correlated random fields of strength parameters under a drained slope. The results show that the proposed approach has excellent accuracy and high efficiency, and it can be applied straightforwardly to similar geotechnical engineering problems.
AB - Spatial variability of soil properties imposes a challenge for practical analysis and design in geotechnical engineering. The latter is particularly true for slope stability assessment, where the effects of uncertainty are synthesized in the so-called probability of failure. This probability quantifies the reliability of a slope and its numerical calculation is usually quite involved from a numerical viewpoint. In view of this issue, this paper proposes an approach for failure probability assessment based on Latinized partially stratified sampling and maximum entropy distribution with fractional moments. The spatial variability of geotechnical properties is represented by means of random fields and the Karhunen-Loève expansion. Then, failure probabilities are estimated employing maximum entropy distribution with fractional moments. The application of the proposed approach is examined with two examples: a case study of an undrained slope and a case study of a slope with cross-correlated random fields of strength parameters under a drained slope. The results show that the proposed approach has excellent accuracy and high efficiency, and it can be applied straightforwardly to similar geotechnical engineering problems.
KW - Latinized partial stratified sampling
KW - Maximum entropy distribution
KW - Random field
KW - Reliability analysis
KW - Slope
UR - http://www.scopus.com/inward/record.url?scp=85186355974&partnerID=8YFLogxK
U2 - 10.1016/j.jrmge.2023.09.006
DO - 10.1016/j.jrmge.2023.09.006
M3 - Article
AN - SCOPUS:85186355974
VL - 16
SP - 1140
EP - 1152
JO - Journal of Rock Mechanics and Geotechnical Engineering
JF - Journal of Rock Mechanics and Geotechnical Engineering
SN - 1674-7755
IS - 4
ER -