A Surrogate Model for Stability Assessment of Two‐Layered Cohesive Slopes

ABSTRACT This paper introduces a novel surrogate model for rapid stability evaluation of two‐layered cohesive slopes under undrained conditions. The model eliminates the need for iterative calculations and slip surface searches, allowing for fast and accurate stability assessments without reliance on advanced numerical tools. The formulation is derived from an extensive parametric study using the Morgenstern–Price limit equilibrium method and is expressed through two physically meaningful dimensionless parameters: a stability number and a strength‐contrast ratio . These parameters directly govern the factor of safety, while a critical strength ratio delineates the transition between shallow (upper‐layer) and deep (two‐layer) failure mechanisms. The model is validated against SLOPE/W benchmarks and independently corroborated using Slide2 (multiple LEM variants) and PLAXIS 2D (FEM), showing high accuracy ( R 2 ≈ 0.999) and low error (92% of predictions within ±5%) across 384 slope configurations. Two‐ and three‐dimensional stability charts are provided for immediate visualization and practical use. As a dimensionless, non‐iterative surrogate, the model offers high computational efficiency and mechanistic insight, effectively bridging classical stability charts and advanced numerical methods for preliminary design, parametric exploration, and large‐scale slope screening.

Authors

Institutions

Publication Details

Journal
International Journal for Numerical and Analytical Methods in Geomechanics
Published
2026-04-16
DOI
https://doi.org/10.1002/nag.70327
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Surrogate Model for Stability Assessment of Two‐Layered Cohesive Slopes

Naloan Coutinho Sampa, Humberto C. F. S. S. S. Volpato
International Journal for Numerical and Analytical Methods in Geomechanics
Geotechnical Engineering and Analysis
article

A Surrogate Model for Stability Assessment of Two‐Layered Cohesive Slopes

Naloan Coutinho Sampa, Humberto C. F. S. S. S. Volpato
article en

Abstract

ABSTRACT This paper introduces a novel surrogate model for rapid stability evaluation of two‐layered cohesive slopes under undrained conditions. The model eliminates the need for iterative calculations and slip surface searches, allowing for fast and accurate stability assessments without reliance on advanced numerical tools. The formulation is derived from an extensive parametric study using the Morgenstern–Price limit equilibrium method and is expressed through two physically meaningful dimensionless parameters: a stability number and a strength‐contrast ratio . These parameters directly govern the factor of safety, while a critical strength ratio delineates the transition between shallow (upper‐layer) and deep (two‐layer) failure mechanisms. The model is validated against SLOPE/W benchmarks and independently corroborated using Slide2 (multiple LEM variants) and PLAXIS 2D (FEM), showing high accuracy ( R 2 ≈ 0.999) and low error (92% of predictions within ±5%) across 384 slope configurations. Two‐ and three‐dimensional stability charts are provided for immediate visualization and practical use. As a dimensionless, non‐iterative surrogate, the model offers high computational efficiency and mechanistic insight, effectively bridging classical stability charts and advanced numerical methods for preliminary design, parametric exploration, and large‐scale slope screening.

International Journal for Numerical and Analytical Methods in Geomechanics
Universidade Federal de Santa Catarina (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 10%
Geotechnical Engineering and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.