K
Kourosh Shahriar
Researcher at Amirkabir University of Technology
Publications - 144
Citations - 3330
Kourosh Shahriar is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Coal mining & Rock mass classification. The author has an hindex of 28, co-authored 138 publications receiving 2610 citations. Previous affiliations of Kourosh Shahriar include Islamic Azad University.
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Response by the authors to S. Yagiz discussion to the paper: J. Khademi Hamidi et al., Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system [Tunnell. Undergr. Space Technol. 25 (2010) 333–345]
Proceedings ArticleDOI
Effect of Shape and Size of Sampling Window on the Determination of Average Length, Intensity and Density of Trace Discontinuity
TL;DR: In this paper, the fracture geometrical characteristics can be calculated by various sampling methods in 1D and 2D and the difference between actual value and their estimators is less than 15%.
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Numerical and experimental research of rock failure mechanism and its dependence on mi Hoek-Brown failure criterion
TL;DR: In this paper, the effect of the Hoek-Brown constant mi on the failure mechanism and crack growth of different rocks has been studied, and it was found that the effect varied according to the type of rocks, and the greatest effect of this parameter was on the peak strength of rocks.
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Prediction of ultimate strength of shale using artificial neural network
TL;DR: In this article, a model was built to predict the ultimate strength of shale, and comparison was made with support vector machine (SVM), multiple linear regression models, and the widely used conventional polyaxial failure criteria in the stability analysis of rock structures, Drucker-Prager, and Mogi-Coulomb.