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《岩石力学与岩土工程学报(英文版)》 2018-05
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A discrete model for prediction of radon flux from fractured rocks

K.M. Ajayi;K. Shahbazi;P. Tukkaraja;K. Katzenstein;Department of Mechanical Engineering, South Dakota School of Mines and Technology;Department of Mining Engineering and Management, South Dakota School of Mines and Technology;Department of Geology and Geological Engineering, South Dakota School of Mines and Technology;  
Prediction of radon flux from the fractured zone of a propagating cave mine is basically associated with uncertainty and complexity. For instance, there is restricted access to these zones for field measurements, and it is quite difficult to replicate the complex nature of both natural and induced fractures in these zones in laboratory studies. Hence, a technique for predicting radon flux from a fractured rock using a discrete fracture network(DFN) model is developed to address these difficulties. This model quantifies the contribution of fractures to the total radon flux, and estimates the fracture density from a measured radon flux considering the effects of advection, diffusion, as well as radon generation and decay. Radon generation and decay are classified as reaction processes. Therefore, the equation solved is termed as the advection-diffusion-reaction equation(ADRE). Peclet number(Pe), a conventional dimensionless parameter that indicates the ratio of mass transport by advection to diffusion, is used to classify the transport regimes. The results show that the proposed model effectively predicts radon flux from a fractured rock. An increase in fracture density for a rock sample with uniformly distributed radon generation rate can elevate radon flux significantly compared with another rock sample with an equivalent increase in radon generation rate. In addition to Pe, two other independent dimensionless parameters(derived for radon transport through fractures) significantly affect radon dimensionless flux.Findings provide insight into radon transport through fractured rocks and can be used to improve radon control measures for proactive mitigation.
【Fund】: the financial support from the National Institute for Occupational Safety and Health(NIOSH)(200-2014-59613)for conducting this research
【CateGory Index】: X591;TD711
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