Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering
W Zhang, KK Phoon - Journal of Rock Mechanics and …, 2022 - ui.adsabs.harvard.edu
We are privileged to be invited by the Honorary Editor-in-Chief, Professor Qihu Qian, Editor-
in-Chief, Professor Xia-Ting Feng, and the editorial staff of the Journal of Rock Mechanics …
in-Chief, Professor Xia-Ting Feng, and the editorial staff of the Journal of Rock Mechanics …
[HTML][HTML] Applications of machine learning in mechanised tunnel construction: A systematic review
Tunnel Boring Machines (TBMs) have become prevalent in tunnel construction due to their
high efficiency and reliability. The proliferation of data obtained from site investigations and …
high efficiency and reliability. The proliferation of data obtained from site investigations and …
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
The accurate estimation of resilient modulus (MR) of compacted subgrade soil is imperative
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …
Prediction of the seismic effect on liquefaction behavior of fine-grained soils using artificial intelligence-based hybridized modeling
Researchers in the past have reported significant uncertainties involved in evaluating the
risk of soil liquefaction using deterministic approaches. Therefore, to improve the accuracy …
risk of soil liquefaction using deterministic approaches. Therefore, to improve the accuracy …
[HTML][HTML] Real-time analysis and prediction of shield cutterhead torque using optimized gated recurrent unit neural network
An accurate prediction of earth pressure balance (EPB) shield moving performance is
important to ensure the safety tunnel excavation. A hybrid model is developed based on the …
important to ensure the safety tunnel excavation. A hybrid model is developed based on the …
[HTML][HTML] A kernel extreme learning machine-grey wolf optimizer (KELM-GWO) model to predict uniaxial compressive strength of rock
Uniaxial compressive strength (UCS) is one of the most important parameters to
characterize the rock mass in geotechnical engineering design and construction. In this …
characterize the rock mass in geotechnical engineering design and construction. In this …
Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete
Carbonation is one of the utmost serious issues affecting the long-term durability of
reinforced concrete. When H 2 O is present, a reaction between CO 2 gas and Ca (OH) 2 …
reinforced concrete. When H 2 O is present, a reaction between CO 2 gas and Ca (OH) 2 …
[HTML][HTML] Assessment of machine learning models for the prediction of rate-dependent compressive strength of rocks
Z Yang, Y Wu, Y Zhou, H Tang, S Fu - Minerals, 2022 - mdpi.com
The prediction of rate-dependent compressive strength of rocks in dynamic compression
experiments is still a notable challenge. Four machine learning models were introduced and …
experiments is still a notable challenge. Four machine learning models were introduced and …
[HTML][HTML] An enhanced stability evaluation system for entry-type excavations: Utilizing a hybrid bagging-SVM model, GP and kriging techniques
S Huang, J Zhou - Journal of Rock Mechanics and Geotechnical …, 2024 - Elsevier
In underground mining, especially in entry-type excavations, the instability of surrounding
rock structures can lead to incalculable losses. As a crucial tool for stability analysis in entry …
rock structures can lead to incalculable losses. As a crucial tool for stability analysis in entry …
[HTML][HTML] Computational AI models for investigating the radiation shielding potential of high-density concrete
Concrete is an economical and efficient material for attenuating radiation. The potential of
concrete in attenuating radiation is attributed to its density, which in turn depends on the mix …
concrete in attenuating radiation is attributed to its density, which in turn depends on the mix …