Kourosh Shahriar

TL;DR: In this paper, the failure load of pre-cracked disks was measured, showing the decreasing effects of the cracks and their orientation on the final failure load, and the breakage process of the disks was studied by inserting single and double cracks with different inclination angles.

TL;DR: In this article, a quantitative criterion was developed to quantify the onset of nonlinear flow by comprehensive combination of Forchheimer's law and Reynolds number, and several high-precision water flow tests were carried out with different hydraulic gradients then the critical Reynolds number was determined based on the developed criterion.

TL;DR: The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur and can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise.

TL;DR: In this paper, the authors used multivariate linear, non-linear and polynomial regression analyses of RMR input parameters to predict the TBM field penetration index (FPI).

TL;DR: The proposed regression model to predict penetration rate of TBM in hard rock conditions based on a new artificial intelligence (AI) algorithm namely support vector regression (SVR) is said to be a useful and reliable means to predict TBM penetration rate provided that a suitable dataset exists.