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Candan Gokceoglu
Researcher at Hacettepe University
Publications - 198
Citations - 12456
Candan Gokceoglu is an academic researcher from Hacettepe University. The author has contributed to research in topics: Landslide & Rock mass classification. The author has an hindex of 55, co-authored 186 publications receiving 10355 citations. Previous affiliations of Candan Gokceoglu include Tarbiat Modares University & Eskişehir Osmangazi University.
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An application of fuzzy sets to the Geological Strength Index (GSI) system used in rock engineering
TL;DR: This paper describes the application of fuzzy set theory to the GSI System by incorporating judgement and experience of practising engineers and Mamdani fuzzy algorithm was constructed using 22 “if–then” rules for evaluating discontinuity parameters and their ratings considered in the G SI System.
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A neuro-fuzzy model for modulus of deformation of jointed rock masses
TL;DR: In this study, construction of a neuro-fuzzy system to estimate the deformation modulus of rock masses is aimed, because this modulus has a crucial importance for many design approaches in rock engineering.
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Extraction of potential debris source areas by logistic regression technique: a case study from Barla, Besparmak and Kapi mountains (NW Taurids, Turkey)
TL;DR: In this paper, the authors used a logistic regression analysis to extract debris source areas by using the data from the slopes of the Barla, Besparmak and Kapi Mountains in the SW part of the Taurids Mountain belt of Turkey, where formation of debris material are clearly evident and common.
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Draft ISRM suggested method for determining block punch strength index (BPI)
TL;DR: In this paper, the authors used the block punch strength index (BPI) to measure the uniaxial compressive strength (UCS) of a thin plate of rock and showed that BPI leads to insignificant errors when compared to those obtained from point load testing, particularly for laminated weak rocks.
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Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach.
Constantinos Kosmas,Or. Kairis,C. A. Karavitis,Coen J. Ritsema,Luca Salvati,Sanem Acikalin,M. Alcalá,P. Alfama,Julius Atlhopheng,J. Barrera,A. Belgacem,Albert Solé-Benet,J. Brito,Miloud Chaker,Raban Chanda,Celeste Coelho,M. Darkoh,I. Diamantis,O. Ermolaeva,V. Fassouli,W. Fei,J. Feng,F. Fernandez,António J. D. Ferreira,Candan Gokceoglu,D. Gonzalez,Hasan Güngör,Rudi Hessel,J. Juying,H. Khatteli,N. Khitrov,A. Kounalaki,Abdellah Laouina,Piernicola Lollino,M. Lopes,L. Magole,L. Medina,Manuel E. Mendoza,P. Morais,K. Mulale,Faruk Ocakoğlu,Mohamed Ouessar,C. Ovalle,C. Perez,J.S. Perkins,F. Pliakas,Maurizio Polemio,A. Pozo,C. Prat,Y. Qinke,A. Ramos,J. Ramos,J. Riquelme,V. Romanenkov,L. Rui,Francesca Santaloia,Reuben Sebego,Mongi Sghaier,N. Silva,M. L. Sizemskaya,J. Soares,H. Sonmez,H. Taamallah,L. Tezcan,Dino Torri,Fabrizio Ungaro,Sandra Valente,J. de Vente,E. Zagal,A. Zeiliguer,W. Zhonging,A. Ziogas +71 more
TL;DR: An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper.