Probabilistic stability analyses of layered excavated slopes

Author:

Zhu D.1,Griffiths D. V.23,Fenton G. A.4

Affiliation:

1. Institute of Geotechnical Engineering, Yangzhou University, Yangzhou, P. R. China.

2. Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO, USA.

3. Magdalen College, Oxford, UK.

4. Department of Engineering Mathematics, Dalhousie University, Halifax, NS, Canada.

Abstract

The random finite-element method (RFEM) is employed to study the effect of vertical spatial soil variability on the stability of layered excavated slopes. Particular emphasis of the paper is on the critical or ‘worst-case’ vertical spatial correlation length, at which the probability of slope failure reaches a maximum. The RFEM results indicate that layered slopes with a relatively low mean factor of safety or a relatively high coefficient of variation of soil strength are most likely to display the ‘worst-case’ phenomenon. The ‘worst-case’ phenomenon is explained by observing the failure mechanisms in layered soils where the critical spatial correlation length optimises the number of horizontal paths of weaker soil available for the mechanism to pass through.

Publisher

Thomas Telford Ltd.

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Reference22 articles.

1. Allahverdizadeh, P. (2015). Risk assessment and spatial variability in geotechnical stability problems. Doctoral thesis, Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO, USA.

2. The Random Finite Element Method (RFEM) in Probabilistic Slope Stability Analysis with Consideration of Spatial Variability of Soil Properties

3. Statistics of block conductivity through a simple bounded stochastic medium

4. Risk Assessment in Geotechnical Engineering

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