Abstract
The paper investigates the probability of failure of a cohesive slope using both simple and more advanced probabilistic analysis tools. The influence of local averaging on the probability of failure of a test problem is thoroughly investigated. In the simple approach, classical slope stability analysis techniques are used, and the shear strength is treated as a single random variable. The advanced method, called the random finite element method (RFEM), uses elastoplasticity combined with random field theory. The RFEM method is shown to offer many advantages over traditional probabilistic slope stability techniques, because it enables slope failure to develop naturally by“seeking out” the most critical mechanism. Of particular importance in this work, is the conclusion that simplified probabilistic analysis, in which spatial variability is ignored by assuming perfect correlation, can lead to unconservative estimates of the probability of failure. This contradicts the findings of other investigators using classical slope stability analysis tools.
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Griffiths, D., Fenton, G.A. (2007). The Random Finite Element Method (RFEM) in Slope Stability Analysis. In: Griffiths, D.V., Fenton, G.A. (eds) Probabilistic Methods in Geotechnical Engineering. CISM Courses and Lectures, vol 491. Springer, Vienna. https://doi.org/10.1007/978-3-211-73366-0_14
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