Numerical studies of groundwater flow, grouting and solute transport in jointed rock mass

Moon, Hyun-Koo; Song, Myung-Jin

doi:10.1016/s1365-1609(97)00279-7

Cited by 12 publications

(3 citation statements)

References 4 publications

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“…A lot of work have been done to characterize and parameterize these properties by using the fractal and self-affine features (Hsiung et al 1993;Mandelbrot 1985;Odling 1994;Power and Tullis 1991;Tse and Cruden 1979b). Researchers have proposed different methods for generating synthetic rock fractures (Brush 2001;Brush and Thomson 2003;Chen and Horne 2006;Crandall et al 2010;Hanssen 2013;Lavrov 2013;Moon and Song 1997;Ogilvie et al 2003;Ogilvie et al 2006;Wang et al 2016;Xiao et al 2013).…”

Section: Characterization Of Rough Rock Fracturesmentioning

confidence: 99%

Evaluation of equivalent hydraulic aperture (EHA) for rough rock fractures

Xiao

Zhao

2019

Can. Geotech. J.

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Most existing models for fluid transportation within a single rock fracture tend to use a channel with two smooth parallel plates, whereas real fracture surfaces are usually rough and tortuous, which can produce a flow field significantly different from the smooth plate model. For fluid flow in a rough fracture, there are surface concave areas (SCA), where the fluid velocity is extremely low, contributing little to the fluid transportation. It is of great significance to quantitatively evaluate the impact of rough surfaces on fluid flow. Therefore, a numerical model for simulating Newtonian fluid through rough fractures is proposed, where synthetic surfaces are generated according to statistical analysis of natural rock fractures and can be quantified by several characteristic parameters. Equivalent hydraulic aperture (EHA) is proposed as one quantitative indicator for evaluating the impact of fracture roughness. Systematic studies were conducted for evaluating EHAs of rough fractures, which, combined with characteristic parameters of fractures, are used to build surrogate models for EHA prediction. It is found that the EHA is directly correlated with the fracture roughness, the mean mechanical aperture, and the standard deviation of aperture distribution. The developed surrogate models were verified to have a high accuracy for EHA prediction.

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Section: Characterization Of Rough Rock Fracturesmentioning

confidence: 99%

Evaluation of equivalent hydraulic aperture (EHA) for rough rock fractures

Xiao

Zhao

2019

Can. Geotech. J.

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“…In grouting fractured rock, the grout diffuses, flows into the fracture, and finally solidifies. This fills the fracture, resulting in the cementation of relatively fractured rock into a relatively intact block, and it enhances the strength and impermeability of the whole rock [5][6][7]. Research on grouting reinforcement mechanisms has mostly focused on changes to the macro-mechanical parameters and physical properties of the rock mass after grouting, and there is a lack of research on the scale of the fracture surface [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Mechanical Properties of Rock Fracture after Grouting Reinforcement

et al. 2020

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Grouting reinforcement plays an important role in repairing fractures and improving the strength of the surrounding rock. To address practical engineering challenges such as caving and chip off-falling of surrounding rock in deep roadways, normal splitting was adopted to prefabricate fractures on rock samples gathered from underground coal mines. This was done to better match the rock fracture specimen with actual conditions. Based on the elementary unit of a fracture surface, systematic experiments were conducted on the tensile properties of rock fractures after grouting reinforcement, and the shear properties were studied after considering the presence of gas. As per the results, the tensile strength of rock fractures increased with the increase in viscosity of grout, but the overall tensile strength was relatively low. The overall tensile effect of surrounding rock was improved less by grouting approach. When the presence of fracture gas in grouting was considered, the peak shear strength of fractures after grouting was 8.34–29.9% less than that without considering the fracture gas. The cemented pore surface produced by unsaturated cementation in the grouting reinforcement was the main cause of reduction in cohesion and frictional angle of rock fractures. The conclusions of this study have great significance for guiding engineering grouting and evaluating the grouting effect.

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“…Physically based models use mathematical equations that describe the system under consideration; they show the best performance when data on the physical characteristics of the system are available, which usually are not easily accessible. Physically based models have found various applications, including flow modelling (Arnold et al 2000, Hoffmann et al 2006) and mass transport (Moon andSong 1997, Dokou andPinder 2011). Artificial neural networks (ANNs) belong to the category of empirical models, which treat the system as a black box, and their purpose is to find a relationship between input and output data without using any physical data such as hydraulic conductivity and porosity (ASCE 2000).…”

Section: Introductionmentioning

confidence: 99%