Probabilistic assessment of fill slope stability

Lim, Kelvin, Schmid, Alexander and Li, An-Jui 2016, Probabilistic assessment of fill slope stability, in GSP 2016 : Advances in Numerical and Experimental Analysis of Transportation Geomaterials and Geosystems for Sustainable Infrastructure : Proceedings of the 4th Geo-China International Conference, American Society of Civil Engineers, Reston, Va., pp. 175-182, doi: 10.1061/9780784480007.021.

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Title Probabilistic assessment of fill slope stability
Author(s) Lim, Kelvin
Schmid, Alexander
Li, An-Jui
Conference name Geo-China. International Conference (4th : 2016 : Shandong, China)
Conference location Shandong, China
Conference dates 25-27 Jul. 2016
Title of proceedings GSP 2016 : Advances in Numerical and Experimental Analysis of Transportation Geomaterials and Geosystems for Sustainable Infrastructure : Proceedings of the 4th Geo-China International Conference
Editor(s) [Unknown]
Publication date 2016
Conference series Geo-China International Conference
Start page 175
End page 182
Total pages 8
Publisher American Society of Civil Engineers
Place of publication Reston, Va.
Summary Conventional slope stability analyses have commonly been based on a deterministic approach. Various deterministic-based analysis methods developed to date can assess the stability of a given slope using the factor of safety. However, it has been strongly debated that the use of only the factor of safety does not explicitly account for the uncertainties in soil parameters. In light of this, this paper uses the finite element limit analysis methods and conducts a probabilistic-based analysis of fill slope for the specific case of two-layered undrained clay. Results obtained show that slopes with large variations in soil properties may present an extremely high risk of a slope failure and this cannot be known if only a deterministic-based analysis is performed. Thus, this shows that more soil investigations can be performed to reduce the variation of the soil properties thereby reducing the risk of a slope failure. Different probabilistic charts based on different coefficients of variation in soil properties are provided in this paper. This study demonstrates that the finite element limit analysis methods can be applied in a probabilistic analysis.
ISSN 0895-0563
Language eng
DOI 10.1061/9780784480007.021
Field of Research 090501 Civil Geotechnical Engineering
Socio Economic Objective 870201 Civil Construction Design
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, American Society of Civil Engineers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087624

Document type: Conference Paper
Collection: School of Engineering
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