Volume 44 Issue 1
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ZHU Yue,LIANG Ye,SUN Zihao,et al. Characterization model for the equivalent hydraulic aperture of a nonmatching fracture based on the MIC[J]. Bulletin of Geological Science and Technology,2025,44(1):150-163 doi: 10.19509/j.cnki.dzkq.tb20230443
Citation: ZHU Yue,LIANG Ye,SUN Zihao,et al. Characterization model for the equivalent hydraulic aperture of a nonmatching fracture based on the MIC[J]. Bulletin of Geological Science and Technology,2025,44(1):150-163 doi: 10.19509/j.cnki.dzkq.tb20230443

Characterization model for the equivalent hydraulic aperture of a nonmatching fracture based on the MIC

doi: 10.19509/j.cnki.dzkq.tb20230443
More Information
  • Author Bio:

    E-mail:zyue000818@163.com

  • Corresponding author: E-mail:sunzihao@cug.edu.cn
  • Received Date: 27 Jul 2023
  • Accepted Date: 20 Nov 2023
  • Rev Recd Date: 25 Oct 2023
  • Available Online: 17 Dec 2023
  • <p>Equivalent hydraulic aperture can quantitatively characterize hydraulic conductivity in rough fractures under Darcy flow conditions, making significance for various engineering applications. </p></sec><sec><title>Objective

    The equivalent hydraulic aperture of rough fractures is influenced by complex geometric features such as wall topography and aperture distribution. This study comprehensively considers fracture geometry, applies the maximal information coefficient (MIC) method to identify key factors influencing equivalent hydraulic aperture, and develops a characterization model based on it.

    Methods

    900 sets of nonmatching rough fractures were generated through Barton's 10 standard curves. Geometric information from fracture walls provided 13 parameters, and numerical simulations were used to obtain the equivalent hydraulic apertures. MIC considers the correlations between equivalent hydraulic aperture and 13 geometric parameters.

    Results

    Four key factors were identified to form the basis of a characterization model for the equivalent hydraulic aperture of rough fractures.

    Conclusion

    900 rough fracture datasets validated the model's performance against two existing models, with the proposed model being more advanced than the current representations. The study also discussed the impact of size effects on hydraulic aperture models and the application for three-dimensional cases.

     

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