Chengkai Fan

• Centre de recherche sur la géologie et l'ingénierie des ressources minérales
• Institut Intelligence et Données

Financements des 2 dernières années

• Brandon Wilson, Maîtrise en génie des mines - avec mémoire
• Cristian Andres Florez Vergara, Doctorat en génie des mines
• Rais Lenzo Seki, Doctorat en génie des mines

Encadrements des 5 dernières années

• Mohammed Rida Benmansour, Stage postdoctoral en génie des mines

Travaux de recherche des 5 dernières années

Excavation-induced damage mechanisms of gently inclined layered shale: Insights from physical model tests and DEM simulations Engineering Failure Analysis, 2026. Binke Chen, Chengkai Fan, Bowen Zeng, Junhao Bu, Yonggang Zhang, Zheng Liu. DOI 10.1016/j.engfailanal.2026.111356

Geochemical dynamics and predictive modeling of water-rock interaction during geothermal reinjection in coal mine gobs Geothermics, 2026. Yuanyuan Jiang, Xincheng Hu, Jiawen Cai, Guangping Huang, Zhaoyang Yu, Chengkai Fan, Shengqiang Yang. DOI 10.1016/j.geothermics.2026.103768

Impact of Dry–Wet Cycles on the Strength Characteristics of Phosphogypsum-Based Composite Stabilized Laterite Soils Transportation Research Record: Journal of the Transportation Research Board, 2026. Kai Huang, Ying Sun, Bin Xu, Xianzeng Shi, Guanqun Sheng, Chengkai Fan. DOI 10.1177/03611981261468739

Nature-inspired ML for strength estimation and multi-objective optimization of cement-supplementary material-stabilized soft soils Automation in Construction, 2026. Chikezie Chimere Onyekwena, Yunli Li, Chengkai Fan, Samuel J. Abbey, Wen-Ping Wu, Zhen-Song Chen. DOI 10.1016/j.autcon.2026.106880

Optimizing the layout of geothermal energy piles to minimize ground temperature changes Energy and Buildings, 2025. Kourosh Gholami, Yunting Guo, Chengkai Fan, Wei Victor Liu. DOI 10.1016/j.enbuild.2025.116569

Characterization of engineering properties in stabilized expansive soil: Integrating experimental investigation and machine learning modeling Construction and Building Materials, 2025. Kai Huang, Zhenhua Zhang, Ying Sun, Xianzeng Shi, Can Wang, Shulan Guo, Chengkai Fan. DOI 10.1016/j.conbuildmat.2025.141960

Rapid Estimation of Truck Cycle Time in Open-Pit Mine Haulage Based on Feature-Optimized Machine Learning Mining, Metallurgy & Exploration, 2025. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1007/s42461-025-01225-0

Machine learning with SHapley additive exPlanations for evaluating mine truck productivity under real-site weather conditions at varying temporal resolutions International Journal of Mining, Reclamation and Environment, 2024. Chengkai Fan, Chathuranga Balasooriya Arachchilage, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1080/17480930.2024.2348877

Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates Cement and Concrete Composites, 2024. Chathuranga Balasooriya Arachchilage, Guangping Huang, Jian Zhao, Chengkai Fan, Wei Victor Liu. DOI 10.1016/j.cemconcomp.2024.105787

Machine learning-assisted characterization of the thermal conductivity of cement-based grouts for borehole heat exchangers Construction and Building Materials, 2024. Jian Zhao, Chengkai Fan, Guangping Huang, Yunting Guo, Chathuranga Balasooriya Arachchilage, Rajender Gupta, Wei Victor Liu. DOI 10.1016/j.conbuildmat.2024.138506

Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines Mining, Metallurgy & Exploration, 2024. Omer Faruk Ugurlu, Chengkai Fan, Bei Jiang, Wei Victor Liu. DOI 10.1007/s42461-024-00924-4

Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines Journal of Rock Mechanics and Geotechnical Engineering, 2024. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1016/j.jrmge.2023.06.005

Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely-additive explanations Construction and Building Materials, 2023. Chathuranga Balasooriya Arachchilage, Guangping Huang, Chengkai Fan, Wei Victor Liu. DOI 10.1016/j.conbuildmat.2023.134083

A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill Journal of Rock Mechanics and Geotechnical Engineering, 2023. Chathuranga Balasooriya Arachchilage, Chengkai Fan, Jian Zhao, Guangping Huang, Wei Victor Liu. DOI 10.1016/j.jrmge.2022.12.009

Effects of site operating conditions on real site TKPH (tonne-kilometer-per-hour) of ultra-large off-the-road tires Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2023. Shaosen Ma, Chengkai Fan, Wei Victor Liu. DOI 10.1177/09544070231166166

Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines Mining, Metallurgy & Exploration, 2023. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1007/s42461-023-00747-9

Preprocessing large datasets using Gaussian mixture modelling to improve prediction accuracy of truck productivity at mine sites Archives of Mining Sciences, 2022. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.24425/AMS.2022.143680

Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modelling International Journal of Mining, Reclamation and Environment, 2022. Chengkai Fan, Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1080/17480930.2022.2142425

Strain characteristics and permeability evolution of faults under stress disturbance monitoring by fibre bragg grating sensing and pressure pulses Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2021. Lifeng Xu, Qi Li, Simon A. Mathias, Yongsheng Tan, Duoxing Yang, Chengkai Fan. DOI 10.1007/s40948-021-00289-8