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