A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock

By Candan Gokceoglu, K. Zorlu. Engineering applications of artificial intelligence, 2004

357 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/b15dd86465ac8cda065e3d9da50db29dcdbe54f7

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In Civil and Structural Engineering

In Mechanics of Materials

In Safety, Risk, Reliability and Quality

Citations in the corpus

Evaluation of empirical estimation of uniaxial compressive strength of rock using measurements from index and physical tests (2020, methodology): “For this, researchers developed different methods for indirect estimation of UCS using empirical relationship between UCS and other index and physical properties of rock which are less difficult to be measured (Sachpazis, 1990; Tu grul and Gürpinar, 1997; Chatterjee and Mukhopadhyay, 2002; Gokceoglu”
Application of fuzzy set theory to evaluate the probability of failure in rock slopes (2012, methodology): “…therefore, fuzzy set theory has been used for geological engineering and rock mechanics problems (Ghose and Dutta, 1987; Grima and Babuska, 1999; Yao et al., 1999; Finol et al., 2001; Gokceoglu, 2002; Kayabasi et al., 2003; Gokceoglu and Zorlu, 2004; Chen and Liu, 2007; Hamidi et al., 2010).”
Application of artificial neural networks and multivariate statistics to predict UCS and E using physical properties of Asmari limestones (2015, methodology): “…neural network (ANN) are used to assess the correlation between physical and mechanical properties of rock (e.g., Lindquist and Goodman 1994; Gokceoglu and Zorlu 2004; Sonmez et al. 2006; Kahraman et al. 2009; Tiryaki 2008; Beiki et al. 2010; Majdi and Beiki 2010; Ozcelik et al. 2012;…”
Application of fuzzy inference system for prediction of rock fragmentation induced by blasting (2015, methodology): “Gokceoglu and Zorlu (2004) employed the fuzzy approach to predict UCS and elasticity modulus of the rock.”
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm (2012, background): “…et al., 1997; Alvarez Grima and Babuska, 1999; Gokceoglu, 2002; Kayabasi et al., 2003; Sonmez et al., 2003, 2004; Nefeslioglu et al., 2003, 2006; Gokceoglu and Zorlu, 2004; Gokceoglu et al., 2009a, b; Yagiz and Gokceoglu, 2010) have been published related to various branches of engineering…”