A critical review on the performance of yielding supports in squeezing tunnels

K Wu, Z Shao, S Qin, W Wei, Z Chu - Tunnelling and Underground Space …, 2021 - Elsevier
The use of yielding supports has proven to be a highly effective measure for tunneling in
squeezing grounds because of their agreement with the law of mechanical movement of …

Statistical study of squeezing for soft rocks based on factor and regression analyses of effective parameters

M Akbariforouz, Q Zhao, K Chen, A Baghbanan… - International Journal of …, 2023 - Elsevier
The time-dependent deformation of rocks due to stress released by excavation is referred to
as squeezing. Accurate evaluation of the squeezing at the design stage can dramatically …

Estimation of reservoir porosity and water saturation based on seismic attributes using support vector regression approach

SR Na'imi, SR Shadizadeh, MA Riahi… - Journal of Applied …, 2014 - Elsevier
Porosity and fluid saturation distributions are crucial properties of hydrocarbon reservoirs
and are involved in almost all calculations related to reservoir and production. True …

[HTML][HTML] Robust model for tunnel squeezing using Bayesian optimized classifiers with partially missing database

Y Bo, X Huang, Y Pan, Y Feng, P Deng, F Gao, P Liu… - Underground …, 2023 - Elsevier
Accurately predicting and estimating the squeezing and ground response to tunneling
remains challenging. Moreover, tunnel-squeezing hazards are much more likely to occur in …

Dynamic prediction models of rock quality designation in tunneling projects

A Mahmoodzadeh, M Mohammadi, HFH Ali… - Transportation …, 2021 - Elsevier
Abstract Machine learning (ML) is becoming an appealing tool in various fields of civil
engineering, such as tunneling. A very important issue in tunneling is to know the geological …

AI-driven prediction of tunneling squeezing: comparing rock classification systems

ZA Al-Sadoon, E Alotaibi, M Omar, MG Arab… - Geotechnical and …, 2024 - Springer
Understanding tunneling-induced ground deformation, particularly squeezing behavior, is
crucial for safe and efficient underground construction. This study employs Artificial Neural …

Improving predictions of rock tunnel squeezing with ensemble Q-learning and online Markov chain

HS Fard, H Parvin, M Mahmoudi - Scientific Reports, 2024 - nature.com
Predicting rock tunnel squeezing in underground projects is challenging due to its intricate
and unpredictable nature. This study proposes an innovative approach to enhance the …

Modelling tunnel squeezing using gene expression programming: a case study

MH Kadkhodaei, E Ghasemi… - Proceedings of the …, 2023 - icevirtuallibrary.com
Squeezing is a well-known geotechnical phenomenon in the excavation of underground
spaces, especially tunnels. Squeezing occurs under different geotechnical conditions in …

Multi-level machine learning-driven tunnel squeezing prediction: review and new insights

H Fathipour-Azar - Archives of Computational Methods in Engineering, 2022 - Springer
Tunnel squeezing is a time-dependent phenomenon that often happens in weak or over-
stressed rock masses, considerably impacting tunnel construction costs and timelines. This …

Intelligent hybrid model to classify failure modes of overstressed rock masses in deep engineering

Z Liu, D Li - Journal of Central South University, 2023 - Springer
Squeezing, slabbing, and strainburst are typical failure modes of overstressed rock masses
in deep rock excavation engineering. This study considered intact rock properties to …