Study on the influence of statistical geometrical characteristics on the permeability tensor of fractured rock masses by the equivalent pipe network method
The permeability of the host rock of the nuclear waste underground repository is one of the most keys for estimating the potential risk for nuclide waste to escape. Therefore, a three-dimensional discrete fracture network (DFN) model using the Monte Carlo method is generated based on the statistical...
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| Published in: | Computers and geotechnics Vol. 165; p. 105868 |
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| Format: | Journal Article |
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01-01-2024
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| Abstract | The permeability of the host rock of the nuclear waste underground repository is one of the most keys for estimating the potential risk for nuclide waste to escape. Therefore, a three-dimensional discrete fracture network (DFN) model using the Monte Carlo method is generated based on the statistical geometrical characteristics of fracture network in Beishan I area which is selected as the site for constructing the nuclear waste repository in China. And the permeability of Beishan I fractured rock masses is calculated through the equivalent pipe network (EPN) method and representative elementary volume (REV) of it is determined. A rotating algorithm is developed to calculate different direction permeability. Furthermore, the influence of fracture statistical geometrical characteristics on REV size is explored by creating a series of DFN models with varying log-normal distribution of side lengths. The results show that the REV size of the Beishan Ⅰ area is 1.66 × 105 m3 and the corresponding principal permeability direction is 111.29°/75.36°. The REV size and permeability both increase with the increment of the mean and variance of the log-normal distribution increases. And with the increase of mean and variance, the growth rate gradually accelerated. |
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| AbstractList | The permeability of the host rock of the nuclear waste underground repository is one of the most keys for estimating the potential risk for nuclide waste to escape. Therefore, a three-dimensional discrete fracture network (DFN) model using the Monte Carlo method is generated based on the statistical geometrical characteristics of fracture network in Beishan I area which is selected as the site for constructing the nuclear waste repository in China. And the permeability of Beishan I fractured rock masses is calculated through the equivalent pipe network (EPN) method and representative elementary volume (REV) of it is determined. A rotating algorithm is developed to calculate different direction permeability. Furthermore, the influence of fracture statistical geometrical characteristics on REV size is explored by creating a series of DFN models with varying log-normal distribution of side lengths. The results show that the REV size of the Beishan Ⅰ area is 1.66 × 105 m3 and the corresponding principal permeability direction is 111.29°/75.36°. The REV size and permeability both increase with the increment of the mean and variance of the log-normal distribution increases. And with the increase of mean and variance, the growth rate gradually accelerated. |
| ArticleNumber | 105868 |
| Author | Zhang, Jing Mi, Xianzhen Yu, Liyuan Wei, Chao Liu, Richeng Hu, Bowen |
| Author_xml | – sequence: 1 givenname: Xianzhen surname: Mi fullname: Mi, Xianzhen organization: State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, PR China – sequence: 2 givenname: Liyuan orcidid: 0000-0002-8973-7476 surname: Yu fullname: Yu, Liyuan email: yuliyuancumt@163.com organization: State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, PR China – sequence: 3 givenname: Jing orcidid: 0000-0002-2775-4326 surname: Zhang fullname: Zhang, Jing organization: School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, PR China – sequence: 4 givenname: Richeng surname: Liu fullname: Liu, Richeng organization: State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, PR China – sequence: 5 givenname: Bowen surname: Hu fullname: Hu, Bowen organization: State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, PR China – sequence: 6 givenname: Chao surname: Wei fullname: Wei, Chao organization: State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, PR China |
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| Keywords | Permeability tensor Representative elementary volume Discrete fracture network Beishan I area Statistical geometrical characteristic |
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