Fuzzy Logic System for Slope Stability Prediction

Abstract

The main goal of this research is to predict the stability of slopes using fuzzy logic system. GeoStudio, a commercially available software was used to compute safety factors for various designs of slope. The general formulation of the software could analyze slope stability using various methods of analysis i.e. Morgenstern-Price, Janbu, Bishop and Ordinary to calculate the safety factors. After analyzing, fuzzy logic was used to predict the slope stability. Fuzzy logic is based on natural language and conceptually easy to understand, flexible, tolerant of imprecise data and able to model nonlinear functions of arbitrary complexity. Several important parameters such as height of slope, unit weight of slope material, angle of slope, coefficient of cohesion and internal angle of friction were used as the input parameters, while the factor of safety was the output parameter. A model to test the stability of the slope was generated from the calculated data. This model presented a relationship between input parameters and stability of the slopes. Results showed that the prediction using fuzzy logic was accurate and close to the target data.Keywords-Limit equilibrium methods; fuzzy logic; factor of safety.

Artificial intelligence application for predicting slope stability on soft ground: a comparative study

“…The finding has shown that ANFIS could predict a high precision safety factor compared to others including the Artificial Neural Network technique. ANFIS predict show the safety factor with the higher accuracy and nearest to the targeted accuracy [19]. In the future, the other techniques could be explored such as Support Vector Machines (SVM) towards determining the significant prediction on the slope stability measurement.…”

An Effective Method of Regenerative Braking for Electric Vehicles

“…In order to determine the sharing proportions between the use of the electric braking and the mechanical braking in this regenerative-plugging method, the fuzzy-logic control (FLC) theory is considered [16]. It enables to adjust the speed, the state-of-charge SoC of the battery, and the required braking torque.…”

“…This paper proposes a simple but effective technique to deal with the problems found so far in the regenerative braking implementation. The fuzzy-logic theory [16] is implemented to automatically control the proportion distribution of regenerative and electric brakings through one single brake-lever. To improve the current response of electric braking, the proportional-integral control method is used.…”

A Comparative Analysis of Slope Height Using Simple Methods

“…Karaman (2013) and Karaman et al (2013) utilized the Slope Stability Probability Classification (SSPC) system (Hack, 1998) and determined the maximum slope height for design of safe slopes using current height of slopes as an input parameter. Mohamed et al (2012) performed the fuzzy logic method for the investigation of slope stability and pointed out that the slope height is one of the most significant input parameters.…”

“…Slope height is a significant parameter used in the limit equilibrium (Kesimal et al, 2008), numerical analyses (Kadakçı Koca and Koca, 2014), some rock mass classification systems (Karaman et al, 2013;Karaman, 2013) and fuzzy logic system (Mohamed et al, 2012). Kadakcı Koca and Koca (2014) mentioned that slope angle, water saturation, seismic force and slope height are the important parameters that affect the stability of the slopes.…”