Review of the geological strength index (GSI) as an empirical classification and rock mass property estimation tool: Origination, modifications, applications, and …

S Hussian, N Mohammad, Z Ur Rehman… - Advances in Civil …, 2020 - Wiley Online Library
The geological strength index (GSI) is one of the most exceptional rock mass classification
system which is used to evaluate very weak and highly jointed rock mass by different …

[HTML][HTML] Deep learning based classification of rock structure of tunnel face

J Chen, T Yang, D Zhang, H Huang, Y Tian - Geoscience Frontiers, 2021 - Elsevier
The automated interpretation of rock structure can improve the efficiency, accuracy, and
consistency of the geological risk assessment of tunnel face. Because of the high …

Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models

M Zhou, J Chen, H Huang, D Zhang, S Zhao… - International Journal of …, 2021 - Elsevier
Current assessments of rock mass quality of a NATM tunnel face are important in the
practice of tunnel excavation. This study establishes a multi-source database and proposes …

A new adaptive compressible element for tunnel lining support in squeezing rock masses

J Xu, X Xie, G Tang, B Zhou, D Xu, Y Huang - Tunnelling and Underground …, 2023 - Elsevier
Abstract The so-called “Non-Deformable Support System” and “Yielding Support System”
have been used in tunnel ground support designs in squeezing rock conditions. According …

Upscaling of fractured rock mass properties–An example comparing Discrete Fracture Network (DFN) modeling and empirical relations based on engineering rock …

D Gottron, A Henk - Engineering Geology, 2021 - Elsevier
In this study a comparison of Discrete Fracture Network (DFN) modeling and empirical
relationships based on conventional engineering rock mass classifications is carried out in …

Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming

S Alemdag, Z Gurocak, A Cevik, AF Cabalar… - Engineering …, 2016 - Elsevier
This paper investigates a series of experimental results and numerical simulations
employed to estimate the deformation modulus of a stratified rock mass. The deformation …

Image-based segmentation and quantification of weak interlayers in rock tunnel face via deep learning

J Chen, D Zhang, H Huang, M Shadabfar… - Automation in …, 2020 - Elsevier
In this paper, an advanced integrated pixel-level method based on the deep convolutional
neural network (DCNN) approach named DeepLabv3+ is proposed for weak interlayers …

Evaluation of rock property variability

AE Aladejare, Y Wang - … : Assessment and Management of Risk for …, 2017 - Taylor & Francis
Rocks are natural geo-materials, whose properties are affected by many spatially-varying
factors, such as the properties of their parent materials, weathering processes, and …

Rock Mass Classification Techniques and Parameters: a Review

A Qazi, K Singh - Journal of Mining and Environment, 2023 - jme.shahroodut.ac.ir
The rock mass classification system is utilized to categorize rocks, and has been used in
engineering projects and stability investigations. It focuses on the parameters of rock mass …

Numerical determination of deformability and strength of 3D fractured rock mass

M Laghaei, A Baghbanan, H Hashemolhosseini… - International journal of …, 2018 - Elsevier
We used a systematic numerical method to determine deformability and strength parameters
of a fractured rock mass with irregular and stochastic fracture systems in 3D. In this case …