Compressive Strength of Fly‐Ash‐Based Geopolymer Concrete by Gene Expression Programming and Random Forest

MA Khan, SA Memon, F Farooq… - Advances in Civil …, 2021 - Wiley Online Library
Fly ash (FA) is a residual from thermal industries that has been effectively utilized in the
production of FA‐based geopolymer concrete (FGPC). To avoid time‐consuming and costly …

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 …

Predictive modelling for the acid resistance of cement-based composites modified with eggshell and glass waste for sustainable and resilient building materials

Z Chen, MN Amin, B Iftikhar, W Ahmad… - Journal of Building …, 2023 - Elsevier
The increasing demand for cement-based composites (CBCs) due to the advancement of
infrastructure causes the exhaustion of natural materials and environmental pollution. Also …

[HTML][HTML] Analytical computation of support characteristic curve for circumferential yielding lining in tunnel design

K Wu, Z Shao, M Sharifzadeh, S Hong, S Qin - Journal of Rock Mechanics …, 2022 - Elsevier
Circumferential yielding lining is able to tolerate controlled displacements without failure,
which has been proven to be an effective solution to large deformation problem in …

[HTML][HTML] Stability prediction of hard rock pillar using support vector machine optimized by three metaheuristic algorithms

C Li, J Zhou, K Du, D Dias - International Journal of Mining Science and …, 2023 - Elsevier
Hard rock pillar is one of the important structures in engineering design and excavation in
underground mines. Accurate and convenient prediction of pillar stability is of great …

Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques

A Nafees, MN Amin, K Khan, K Nazir, M Ali, MF Javed… - Polymers, 2021 - mdpi.com
Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in
the construction sector. Incorporating SF as a partial substitution of cement in concrete has …

Strength of stacking technique of ensemble learning in rockburst prediction with imbalanced data: Comparison of eight single and ensemble models

X Yin, Q Liu, Y Pan, X Huang, J Wu, X Wang - Natural Resources …, 2021 - Springer
Rockburst is a common dynamic geological hazard, severely restricting the development
and utilization of underground space and resources. As the depth of excavation and mining …

Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review

S Wang, P **a, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …

[HTML][HTML] Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development

SC Chelgani, H Nasiri, M Alidokht - International Journal of Mining Science …, 2021 - Elsevier
Surprisingly, no investigation has been explored relationships between operating variables
and metallurgical responses of coal column flotation (CF) circuits based on industrial …

[HTML][HTML] Correlations between mineral composition and mechanical properties of granite using digital image processing and discrete element method

C He, B Mishra, Q Shi, Y Zhao, D Lin, X Wang - International Journal of …, 2023 - Elsevier
This study investigated the correlations between mechanical properties and mineralogy of
granite using the digital image processing (DIP) and discrete element method (DEM). The …