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Chengkai Luke Fan
Chengkai Luke Fan
PhD, Postdoc, E.I.T., University of Alberta
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
Investigation of the dynamic strain responses of sandstone using multichannel fiber-optic sensor arrays
Y Sun, Q Li, D Yang, C Fan, A Sun
Engineering Geology 213, 1-10, 2016
442016
A critical review of distributed fiber optic sensing for real-Time monitoring geologic CO2 sequestration
Y Sun, J Liu, Z Xue, Q Li, C Fan, X Zhang
Journal of Natural Gas Science and Engineering, 103751, 2020
332020
Laboratory core flooding experiments in reservoir sandstone under different sequestration pressures using multichannel fiber Bragg grating sensor arrays
Y Sun, Q Li, C Fan
International Journal of Greenhouse Gas Control 60, 186-198, 2017
322017
Fiber Bragg grating‐based experimental and numerical investigations of CO2 migration front in saturated sandstone under subcritical and supercritical conditions
C Fan, Q Li, J Ma, D Yang
Greenhouse Gases: Science and Technology 9 (1), 106-124, 2019
182019
A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill
CB Arachchilage, C Fan, J Zhao, G Huang, WV Liu
Journal of Rock Mechanics and Geotechnical Engineering 15 (11), 2803-2815, 2023
152023
Fiber-optic monitoring of evaporation-induced axial strain of sandstone under ambient laboratory conditions
Y Sun, Q Li, C Fan, D Yang, X Li, A Sun
Environmental Earth Sciences 76 (10), 379, 2017
152017
Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modelling
C Fan, N Zhang, B Jiang, WV Liu
International Journal of Mining, Reclamation and Environment 37 (1), 66-86, 2022
82022
Preprocessing large datasets using Gaussian mixture modelling to improve prediction accuracy of truck productivity at mine sites
C Fan, N Zhang, B Jiang, WV Liu
Archives of Mining Sciences 67 (4), 661-680, 2022
82022
Testing Technology of fiber Bragg grating in the shale damage experiments under uniaxial compression conditions
C Fan, Y Sun, Q Li, H Lu, Z Niu, X Li
Rock and Soil Mechanics 38 (8), 2456-2464, 2017
72017
Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines
C Fan, N Zhang, B Jiang, WV Liu
Journal of Rock Mechanics and Geotechnical Engineering 16 (3), 727-740, 2024
62024
Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines
C Fan, N Zhang, B Jiang, WV Liu
Mining, Metallurgy & Exploration 40 (2), 583-598, 2023
62023
Strain characteristics and permeability evolution of faults under stress disturbance monitoring by fibre Bragg grating sensing and pressure pulses
L Xu, Q Li, S Mathias, Y Tan, D Yang, C Fan
Geomechanics and Geophysics for Geo-Energy and Geo-Resources 7 (4), 2021
62021
Impact assessment of interlayers on geological storage of carbon dioxide in Songliao Basin
D Zhang, C Fan, D Kuang
Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 74, 85, 2019
62019
页岩单轴压缩破坏试验的光纤布拉格光栅测试技术研究
范成凯, 孙艳坤, 李琦, 鲁海峰, 牛智勇, 李霞颖
岩土力学 38 (8), 2456-2464, 2017
42017
Effects of site operating conditions on real site TKPH (tonne-kilometer-per-hour) of ultra-large off-the-road tires
S Ma, C Fan, WV Liu
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2023
32023
Dynamic optical fiber monitoring of water-saturated sandstone during supercritical CO2 injection at different sequestration pressures
C Fan, Q Li, X Li, Z Niu, L Xu
Proceedings of the 8th International Congress on Environmental Geotechnics 3 …, 2018
22018
Fluid Sampling Monitoring at Yanchang CO2-EOR Demonstration Site, Ordos Basin, China
Q Li, J Ma, X Lu, Z Niu, C Fan, X Li
14th Greenhouse Gas Control Technologies Conference Melbourne, 21-26, 2018
22018
Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely-additive explanations
CB Arachchilage, G Huang, C Fan, WV Liu
Construction and Building Materials 409, 134083, 2023
12023
Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines
OF Ugurlu, C Fan, B Jiang, WV Liu
Mining, Metallurgy & Exploration, 1-18, 2024
2024
Cementing our understanding of concrete: using machine learning methods to predict the uniaxial compressive strength of cement-based mixtures for mining applications
CB Char, Mikes, Arachchilage, C Fan, WV Liu
WISEST Summer Research Program / WISEST Research Posters, 2023
2023
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