DOI : https://doi.org/10.18517/ijaseit.2.2.174

Fuzzy Logic System for Slope Stability Prediction

Tarig Mohamed (1), Anuar Kasa (2), Mohd. Raihan Taha (3)
(1) Civil and Structural Engineering, National University of Malaysia
(2) Civil and Structural Engineering, National University of Malaysia
(3) Civil and Structural Engineering, National University of Malaysia
Fulltext View | Download
How to cite (IJASEIT) :
Mohamed, Tarig, et al. “Fuzzy Logic System for Slope Stability Prediction”. International Journal on Advanced Science, Engineering and Information Technology, vol. 2, no. 2, Apr. 2012, pp. 151-5, doi:10.18517/ijaseit.2.2.174.
Citation Format :
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.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).