Application of fuzzy set theory to evaluate the stability of slopes

Tarig Mohamed, Anuar Kasa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An artificial intelligence tools, Adaptive Neuro Fuzzy Inference System (ANFIS), was used in this study to predict the stability of slopes. Data used in this study were 300 various designs of slope. Those designs were created by using Slope/W which calculated factors of safety using various limit equilibrium methods (LEM) such as Bishop, Spencer and Morgenstern-Price. The input parameters consisted of height of slope, H (1-10 m), unit weight of slope material, γ (15-22 kN/m3), angle of slope, θ (11.31°-78.69°), coefficient of cohesion, c (0-50 kN/m2) and internal angle of friction, φ (20°- 40°) and the output parameter is the factor of safety. To build the fuzzy inference system, 243 rules were used at 60 epochs. The number of membership function for the any input was three and the type of membership function for output was linear. ANFIS obtained regression square (R2) of one for Bishop, one for Janbu, one for Morgenstern-Price and one for Ordinary. The result proved that ANFIS may possibly predict the safety factor with good precision and nearly to the target data.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
PublisherTrans Tech Publications Ltd
Pages566-571
Number of pages6
Volume580-583
ISBN (Print)9783038351658
DOIs
Publication statusPublished - 2014
Event4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014 - Haikou
Duration: 24 May 201425 May 2014

Publication series

NameApplied Mechanics and Materials
Volume580-583
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

Other4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014
CityHaikou
Period24/5/1425/5/14

Fingerprint

Fuzzy set theory
Fuzzy inference
Membership functions
Safety factor
Artificial intelligence
Friction

Keywords

  • ANFIS
  • Fuzzy logic
  • Slope stability prediction

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Mohamed, T., & Kasa, A. (2014). Application of fuzzy set theory to evaluate the stability of slopes. In Applied Mechanics and Materials (Vol. 580-583, pp. 566-571). (Applied Mechanics and Materials; Vol. 580-583). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.580-583.566

Application of fuzzy set theory to evaluate the stability of slopes. / Mohamed, Tarig; Kasa, Anuar.

Applied Mechanics and Materials. Vol. 580-583 Trans Tech Publications Ltd, 2014. p. 566-571 (Applied Mechanics and Materials; Vol. 580-583).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohamed, T & Kasa, A 2014, Application of fuzzy set theory to evaluate the stability of slopes. in Applied Mechanics and Materials. vol. 580-583, Applied Mechanics and Materials, vol. 580-583, Trans Tech Publications Ltd, pp. 566-571, 4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014, Haikou, 24/5/14. https://doi.org/10.4028/www.scientific.net/AMM.580-583.566
Mohamed T, Kasa A. Application of fuzzy set theory to evaluate the stability of slopes. In Applied Mechanics and Materials. Vol. 580-583. Trans Tech Publications Ltd. 2014. p. 566-571. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.580-583.566
Mohamed, Tarig ; Kasa, Anuar. / Application of fuzzy set theory to evaluate the stability of slopes. Applied Mechanics and Materials. Vol. 580-583 Trans Tech Publications Ltd, 2014. pp. 566-571 (Applied Mechanics and Materials).
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