Paper contribution

Deterministic and Probabilistic Assessment of Rock Slope Stability in Dolomite Quarries in Hungary

Proceedings
EUROCK 2026
Pages
1009-1015
Submitted
28 January 2026
Accepted
15 June 2026
Published
12 August 2026

Summary

Abstract

Rock slope stability in dolomite quarries is strongly influenced by the variability of discontinuity geometry and shear strength parameters. This study compares deterministic and probabilistic stability assessments of bench-scale quarry walls affected by discontinuity-controlled failures in four Hungarian open-pit dolomite quarries. The dataset comprises five planar-failure and two wedge-failure cases. Deterministic analyses were carried out using RocPlane and SWedge, whereas probabilistic analyses were performed using Latin Hypercube Sampling. The results show that deterministic and probabilistic approaches do not yield directly comparable assessments of bench stability. The same deterministic design criterion (FoS = 1.35) corresponded to markedly different probability-of-failure (PoF) levels depending on failure mode, geometry, and the statistical characteristics of the input parameters. For wedge failures, the corresponding PoF values ranged from 0.30% to 14.0%, whereas for planar failures they ranged from 0% to 12.96%. An extended probabilistic planar-failure analysis was also performed for the Csákvár–3 case by systematically varying slope angle and failure-plane angle. The resulting PoF field showed a strongly non-linear response, confirming that relatively small geometric changes may substantially affect failure probability. Overall, the results indicate that probabilistic analysis provides important complementary information to deterministic design and that FoS-, PoF-, or reliability-based acceptance criteria should be interpreted in a site-specific geological and geometrical context.

Contributors

Authors

  1. Ferenc Ferdinánd Füzesi Budapest University of Technology and Economics, Hungary ORCID 0009-0004-5554-5021
  2. Gyula Bögöly Budapest University of Technology and Economics, Hungary

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