Contemporary Approaches to Slope Stability Back Analysis

Abstract

This paper presents a comprehensive overview of back analysis techniques in slope stability assessment. Back analysis involves the retroactive determination of material properties or conditions that led to a slope failure. Various methodologies, including numerical modelling, probabilistic approaches, and data-driven techniques, are discussed. The paper also explores the applications of back analysis in real-world slope stability problems and provides insights into future research directions. This paper presents an in-depth exploration of back analysis techniques in slope stability assessment, focusing on methodologies, case studies, applications, and future research directions. Back analysis plays a crucial role in understanding the factors contributing to slope failures and estimating material properties. Various methods such as Limit Equilibrium Method (LEM), Finite Element Method (FEM), Bayesian Framework, and Geographically Weighted Regression (GWR) are discussed, along with their applications in real-world scenarios. The paper also highlights the potential of advanced data analytics and remote sensing technologies in enhancing back analysis accuracy and addressing uncertainties.