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Prediction of peak shear strength of rock joints using fuzzy C means clustering

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 520
Year: 2013
COI code: ICCAU01_2925
Paper Language: English

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Authors Prediction of peak shear strength of rock joints using fuzzy C means clustering

Khabat Amiri Hossaini - M.Sc. of rock mechanics, Golgohar Iron ore and Steel Research Institute
  Malihe Soltanzali - M.Sc. of rock mechanics, Shahid Bahonar University of Kerman
Masaod Askari - M.Sc. of geology, Golgohar Iron ore and Steel Research Institute

Abstract:

Studying the behavior of rock mass involves surviving both parameters which control shear strength of discontinuities and behavior of joints must be simulated using a constitutive model. The objective of this study is to predict the value of peak shear stress of rocks based on data from experimental data and using them to construct model by Fuzzy C means clustering (FCM) techniques. In this Study two models were designed based on Mamdani and Sugeno Fuzzy Systems. Results showed that Sugeno fuzzy system could predict this value with correlation coefficient square more than 0.92, but result showed that Mamdani model could not predict this parameter accurately in comparison with Sugeno model. So a model which is constructed us in Sugeno type FCM could be used to predict the value of shear strength of discontinuities based on data gained from that discontinuity

Keywords:

peak shear stress, Fuzzy C means clustering, Sugeno FI

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https://www.civilica.com/Paper-ICCAU01-ICCAU01_2925.html
COI code: ICCAU01_2925

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Amiri Hossaini, Khabat; Malihe Soltanzali & Masaod Askari, 2013, Prediction of peak shear strength of rock joints using fuzzy C means clustering, International conference on civil engineering, architecture and Urban Sustainable Development, تبريز, دانشگاه آزاد اسلامي واحد تبريز, https://www.civilica.com/Paper-ICCAU01-ICCAU01_2925.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Amiri Hossaini, Khabat; Malihe Soltanzali & Masaod Askari, 2013)
Second and more: (Amiri Hossaini; Soltanzali & Askari, 2013)
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