Random-Field Modelling of Cohesion and Friction Angle for Reliability Assessment of Soil-Nailed Slopes

Soil spatial variability is the primary source of uncertainty governing the reliability of geotechnical slopes. This paper presents a random field (RF) framework for characterising cohesion (c′) and friction angle (φ′) as spatially correlated Gaussian fields, discretised via the Karhunen–Loève expansion and propagated through a Monte Carlo Simulation (MCS) and Adaptive Radial Based Importance Sampling (ARBIS) reliability loop applied to a soil-nailed slope. Five random field realisations demonstrate that non-negligible failure probabilities (7–46%) persist even when the mean factor of safety significantly exceeds unity—an outcome attributable to localised weak zones within spatially heterogeneous soil. Failure surfaces exhibit both linear and non-linear geometries, revealing failure pathways invisible to deterministic approaches.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-23
DOI
https://doi.org/10.5281/zenodo.19186384
Primary Topic
Geotechnical Engineering and Analysis
Type
article
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article

Random-Field Modelling of Cohesion and Friction Angle for Reliability Assessment of Soil-Nailed Slopes

Aduot Madit Anhiem
Zenodo (CERN European Organization for Nuclear Research)
Geotechnical Engineering and Analysis
article

Random-Field Modelling of Cohesion and Friction Angle for Reliability Assessment of Soil-Nailed Slopes

Aduot Madit Anhiem
article en

Abstract

Soil spatial variability is the primary source of uncertainty governing the reliability of geotechnical slopes. This paper presents a random field (RF) framework for characterising cohesion (c′) and friction angle (φ′) as spatially correlated Gaussian fields, discretised via the Karhunen–Loève expansion and propagated through a Monte Carlo Simulation (MCS) and Adaptive Radial Based Importance Sampling (ARBIS) reliability loop applied to a soil-nailed slope. Five random field realisations demonstrate that non-negligible failure probabilities (7–46%) persist even when the mean factor of safety significantly exceeds unity—an outcome attributable to localised weak zones within spatially heterogeneous soil. Failure surfaces exhibit both linear and non-linear geometries, revealing failure pathways invisible to deterministic approaches.

Zenodo (CERN European Organization for Nuclear Research)
Universiti Teknologi Petronas (MY)
Life in Land
Openalex Percentile: Top 10%
Geotechnical Engineering and Analysis
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Random-Field Modelling of Cohesion and Friction Angle for Reliability Assessment of Soil-Nailed Slopes — Aduot Madit Anhiem · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS