Estimation of uniaxial compressive strength based on P-wave and Schmidt hammer rebound using statistical method
By Behnaz Minaeian, K. Ahangari. Arabian Journal of Geosciences, 2013
114 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/d11cb8e273d1ef86be2b61965f1aaa4980ec05b2
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In Civil and Structural Engineering
In Mechanics of Materials
In Ocean Engineering
Citations in the corpus
- Prediction of uniaxial compressive strength of carbonate rocks from nondestructive tests using multivariate regression and LS-SVM methods (2019, background): “…Sönmez et al. 2004; Kahraman and Alber 2006; Sönmez et al. 2006; Tütmez and Tercan 2007; Baykasoğlu et al. 2008; Tiryaki 2008; Yılmaz and Yüksek 2008; Yılmaz and Yüksek 2009; Sarkar et al. 2010; Yağız et al. 2012; Ceryan et al. 2012; Ceryan et al. 2013a; Mishra and Basu 2013; Mishra et al. 2015).”
- Application of artificial neural networks and multivariate statistics to predict UCS and E using physical properties of Asmari limestones (2015, background): “In this regard, several researchers reported a series of relationships between UCS and E with Vp, d, and n in simple or multivariate form (e.g., Tugrul and Zarif 1999; Kahraman 2001; Sharma and Singh 2008; Dehghan et al. 2010; Kahraman et al. 2010; Yagiz 2011; Manouchehrian et al. 2012; Minaeian and”