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Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions.

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Title: Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions.
Authors: Lavoine, Etienne1 (AUTHOR) e.lavoine@itasca.fr, Davy, Philippe2 (AUTHOR), Darcel, Caroline1 (AUTHOR), Mas Ivars, Diego3,4 (AUTHOR), Kasani, Hossein A.5 (AUTHOR)
Source: Rock Mechanics & Rock Engineering. Apr2024, Vol. 57 Issue 4, p2407-2420. 14p.
Subjects: Job stress, Young's modulus, Stress fractures (Orthopedics), Stress concentration
Abstract: The presence of fractures in rock masses plays a major role in its stress state and its variability. Each fracture potentially induces a stress perturbation, which is correlated to its geometrical and mechanical properties. This work aims to understand and quantitatively predict the relationship between fractured systems and the associated stress fluctuations distribution, considering any regional stress conditions. The approach considers the rock mass as an elastic rock matrix into which a population of discrete fractures is embedded—known as a Discrete Fracture Network (DFN) modeling approach. We develop relevant indicators and analytical solutions to quantify stress perturbations at the fracture network scale, supported by 3D numerical simulations, using various fracture size distributions. We show that stress fluctuations increase with fracture density and decrease as a function of the so-called stiffness length, a characteristic length that can be defined as the ratio between Young's modulus of the matrix and fracture stiffness. Based on these considerations we discuss, depending on DFN parameters, which range of fractures should be modeled explicitly to account for major stress perturbations in fractured rock masses. Highlights: Stress fluctuations in fractured rocks are predicted quantitatively from a tensorial approach. At the fracture scale, stress fluctuations depend on fracture size, orientation with respect to the applied remote stress field, and mechanical properties. At the network scale, stress fluctuations depend on fracture density, as well as size, orientation and mechanical property distributions. [ABSTRACT FROM AUTHOR]
Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Job+stress%22">Job stress</searchLink><br /><searchLink fieldCode="DE" term="%22Young's+modulus%22">Young's modulus</searchLink><br /><searchLink fieldCode="DE" term="%22Stress+fractures+%28Orthopedics%29%22">Stress fractures (Orthopedics)</searchLink><br /><searchLink fieldCode="DE" term="%22Stress+concentration%22">Stress concentration</searchLink>
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  Data: The presence of fractures in rock masses plays a major role in its stress state and its variability. Each fracture potentially induces a stress perturbation, which is correlated to its geometrical and mechanical properties. This work aims to understand and quantitatively predict the relationship between fractured systems and the associated stress fluctuations distribution, considering any regional stress conditions. The approach considers the rock mass as an elastic rock matrix into which a population of discrete fractures is embedded—known as a Discrete Fracture Network (DFN) modeling approach. We develop relevant indicators and analytical solutions to quantify stress perturbations at the fracture network scale, supported by 3D numerical simulations, using various fracture size distributions. We show that stress fluctuations increase with fracture density and decrease as a function of the so-called stiffness length, a characteristic length that can be defined as the ratio between Young's modulus of the matrix and fracture stiffness. Based on these considerations we discuss, depending on DFN parameters, which range of fractures should be modeled explicitly to account for major stress perturbations in fractured rock masses. Highlights: Stress fluctuations in fractured rocks are predicted quantitatively from a tensorial approach. At the fracture scale, stress fluctuations depend on fracture size, orientation with respect to the applied remote stress field, and mechanical properties. At the network scale, stress fluctuations depend on fracture density, as well as size, orientation and mechanical property distributions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00603-023-03683-8
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        Text: English
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        Type: general
      – SubjectFull: Young's modulus
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      – SubjectFull: Stress fractures (Orthopedics)
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      – SubjectFull: Stress concentration
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      – TitleFull: Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions.
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              Text: Apr2024
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