Double Random Technique to Evaluate the Uncertainty of Safety Factor in Soils of Limit Equilibrium Methods

• Manuel Felipe Brito Quijada Central University of Venezuela https://orcid.org/0009-0003-8304-2002

DOI: https://doi.org/10.5281/zenodo.20174230

Keywords: Slope stability, Feedforward artificial neural network, Random numbers, Factor of safety analysis

Abstract

This article proposes a double random technique that allows the use of a random safety factor, evaluating the effects of uncertainty in geotechnical parameters in the stability analysis of slopes in soils, not considered in limit equilibrium methods. The proposed technique uses criteria from Artificial Neural Networks with Feedforward topology. Data from thirteen study sites are used for the average safety factor (ASF) analysis; a significance factor or confidence level is applied to this safety factor to ultimately obtain the minimum safety factor (MSF). The results indicate that the proposed technique provides consistent MSF results when compared with the safety factors published in the cited references.

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