Chapter
Jun 20, 2012
Traditional and Advanced Probabilistic Slope Stability Analysis
Authors: D. V. Griffiths [email protected], G. A. Fenton [email protected], and M. D. Denavit [email protected]Author Affiliations
Publication: Probabilistic Applications in Geotechnical Engineering
Abstract
The paper contrasts results obtained by the traditional First Order Reliability Method (FORM) and a more advanced Random Finite Element Method (RFEM) in a benchmark problem of slope stability analysis with random shear strength parameters. The key difference between the methods is that RFEM takes into account spatial correlation in a rigorous way allowing slope failure to occur naturally along the path of least resistance. Both methods lead to predictions of the "probability of slope failure" as opposed to the more traditional "factor of safety" measure of slope safety, however they give significant different results depending on the value of the correlation length. For small correlation lengths FORM is generally conservative, however it is shown that there is a "worst case" correlation length for which FORM leads to unconservative predictions of slope reliability.
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Copyright
© 2007 American Society of Civil Engineers.
History
Published online: Jun 20, 2012
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ASCE Technical Topics:
- Benchmark
- Business management
- Correlation
- Engineering fundamentals
- Finite element method
- Geomechanics
- Geotechnical engineering
- Management methods
- Material mechanics
- Material properties
- Materials engineering
- Mathematics
- Methodology (by type)
- Numerical methods
- Practice and Profession
- Probability
- Public administration
- Public health and safety
- Safety
- Shear strength
- Slope stability
- Slopes
- Statistics
- Strength of materials
Authors
Affiliations
F.ASCE
Geomechanics Research Center, Division of Engineering, Colorado School of Mines, Golden, Colorado 80401-1887. E-mail: [email protected]
M.ASCE
Department of Engineering Mathematics, Dalhousie University, Halifax, Nova Scotia, Canada B3J 2X4. E-mail: [email protected]
S.M.ASCE
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801. E-mail: [email protected]
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