COI code: ICCAU01_2925
Paper Language: English
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Authors Prediction of peak shear strength of rock joints using fuzzy C means clusteringKhabat 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
COI code: ICCAU01_2925
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
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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