[HTML][HTML] DFN: an emerging tool for stochastic modelling and geomechanical design
The discrete fracture networks (DFN) have become indispensable tools for geomechanical
modelling of jointed rock masses. The technology creates a three-dimensional (3D) …
modelling of jointed rock masses. The technology creates a three-dimensional (3D) …
[HTML][HTML] Advances in statistical mechanics of rock masses and its engineering applications
To efficiently link the continuum mechanics for rocks with the structural statistics of rock
masses, a theoretical and methodological system called the statistical mechanics of rock …
masses, a theoretical and methodological system called the statistical mechanics of rock …
Determination of statistical discontinuity persistence for a rock mass characterized by non-persistent fractures
W Zhang, Z Lan, Z Ma, C Tan, J Que, F Wang… - International Journal of …, 2020 - Elsevier
The discontinuity persistence is an important parameter that affects the strength of rock
masses and stability in rock engineering. However, determining the 3D discontinuity …
masses and stability in rock engineering. However, determining the 3D discontinuity …
[HTML][HTML] Automated classification analysis of geological structures based on images data and deep learning model
Featured Application This work aims to build a robust model with a comparison of machine
learning, convolutional neural network and transfer learning. The model can be combined …
learning, convolutional neural network and transfer learning. The model can be combined …
A precise modeling method of three‐dimensional discrete fracture network based on rectangular joint model
J Kang, X Fu, Q Sheng, J Chen, K Wu… - … Journal for Numerical …, 2024 - Wiley Online Library
As the weak structure and main seepage channel of rock mass, the discrete fracture network
(DFN) has a significant influence on the physical and mechanical properties of rock mass. In …
(DFN) has a significant influence on the physical and mechanical properties of rock mass. In …
Copula-based simulating and analyzing methods of rock mass fractures
The uncertainty analysis of fractures is always an important task in studying the structures of
rock masses. Traditional univariate and bivariate statistical methods have limitations for …
rock masses. Traditional univariate and bivariate statistical methods have limitations for …
Deep learning–based stochastic modelling and uncertainty analysis of fault networks
Limited by the survey data and current interpretation methods, the modelling processes of
fault networks are fraught with uncertainties. In hydraulic geological engineering, the …
fault networks are fraught with uncertainties. In hydraulic geological engineering, the …
[HTML][HTML] Grouting process simulation based on 3D fracture network considering fluid–structure interaction
Y Zhu, X Wang, S Deng, W Chen, Z Shi, L Xue, M Lv - Applied Sciences, 2019 - mdpi.com
Grouting has always been the main engineering measure of ground improvement and
foundation remediation of hydraulic structures. Due to complex geological conditions and …
foundation remediation of hydraulic structures. Due to complex geological conditions and …
Two-dimensional discrepancies in fracture geometric factors and connectivity between field-collected and stochastically modeled DFNs: a case study of sluice …
W Zhang, R Fu, C Tan, Z Ma, Y Zhang, S Song… - Rock Mechanics and …, 2020 - Springer
This study takes sluice foundation rock mass in Datengxia Hydropower Station, China as an
example to examine two-dimensional (2D) discrepancies in fracture geometric factors and …
example to examine two-dimensional (2D) discrepancies in fracture geometric factors and …
An Analysis of Trace Information of Different-shaped Fracture Networks Having a Same Fracture Intensity (P32)
Discrete fracture network (DFN) simulation is the basis of studying the properties of a rock
mass. An important premise of constructing three-dimensional (3-D) DFNs is to ensure that …
mass. An important premise of constructing three-dimensional (3-D) DFNs is to ensure that …