Kourosh Shahriar
- : Numerical modeling of optimum spacing of TBM disk cutters, using a finite element method simulation. Dans: Geomechanics and Tunnelling.
- : Discussion of cutterhead opening design for earth pressure balance machines (EPBMs) in soft grounds. Dans: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering.
- : Optimized Fuzzy Cmeans – Fuzzy Covariance – Fuzzy Maximum Likelihood Estimation Clustering Method Based on Deferential Evolutionary Optimization Algorithm for Identification of Rock Mass Discontinuities Sets. Dans: Periodica Polytechnica Civil Engineering.
- : Shape Effect of Fractures on Intensity and Density of Discreet Fracture Networks. Dans: Periodica Polytechnica Civil Engineering.
- (2018): Statistical assessment of rock burst potential and contributions of considered predictor variables in the task. Dans: Tunnelling and Underground Space Technology, v. 72 (février 2018).
- (2017): Evaluation of tool wear in EPB tunneling of Tehran Metro, Line 7 Expansion. Dans: Tunnelling and Underground Space Technology, v. 61 (janvier 2017).
- (2016): Uncertainty analysis of groundwater inflow into underground excavations by stochastic discontinuum method: Case study of Siah Bisheh pumped storage project, Iran. Dans: Tunnelling and Underground Space Technology, v. 51 (janvier 2016).
- (2014): Evaluation of rock mass engineering geological properties using statistical analysis and selecting proper tunnel design approach in Qazvin–Rasht railway tunnel. Dans: Tunnelling and Underground Space Technology, v. 41 (mars 2014).
- (2011): Interaction of twin tunnels and shallow foundation at Zand underpass, Shiraz metro, Iran. Dans: Tunnelling and Underground Space Technology, v. 26, n. 2 (mars 2011).
- (2010): Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system. Dans: Tunnelling and Underground Space Technology, v. 25, n. 4 (juillet 2010).
- (2008): Geotechnical risk assessment based approach for rock TBM selection in difficult ground conditions. Dans: Tunnelling and Underground Space Technology, v. 23, n. 3 (mai 2008).
- (2019): Developing intelligent classification models for rock burst prediction after recognizing significant predictor variables, Section 2: Designing classifiers. Dans: Tunnelling and Underground Space Technology, v. 84 (février 2019).
- (2019): Developing intelligent classification models for rock burst prediction after recognizing significant predictor variables, Section 1: Literature review and data preprocessing procedure. Dans: Tunnelling and Underground Space Technology, v. 83 (janvier 2019).
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