Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
This thesis develops an advanced constitutive model for simulating the behavior of weak rock masses, which are often characterized by low strength and high deformability. Addressing the complexities inherent in geological formations, the model integrates key factors such as stress anisotropy, pore pressure, deviatoric stress, and thermal effects. Traditional models often fail to capture the nonlinear and probabilistic responses of weak rock masses under varied stress conditions. This study overcomes these limitations by employing Monte Carlo simulations combined with Weibull distributions to better reflect the variability and heterogeneity of geological properties. The model's validity is confirmed through a comprehensive comparison of simulated data with experimental results, employing statistical methods such as the Kolmogorov-Smirnov test and visual analysis techniques. The findings demonstrate that the proposed model accurately predicts the mechanical behavior of different rock types, such as Claystone, Mudstone, Sandstone, Shale, and Siltstone, under diverse loading scenarios. Practical applications of this model are highlighted in fields like mining engineering, geothermal energy, and oil reservoir management, where predicting rock mass stability and behavior is critical. While the model shows significant advancements over existing methods, it also acknowledges limitations and suggests areas for future research, such as incorporating long-term environmental factors and expanding empirical data calibration.Type
textElectronic Thesis
Degree Name
M.S.Degree Level
mastersDegree Program
Graduate CollegeMining Geological & Geophysical Engineering