Publications

Fang, Z., Huang, K., Cai, G., Shi, X., Duan, W., Chen, R., Luo, Z., Wu, Y., Fan, C. (2026) Experimental investigation of hydro-thermal-chemical coupling on red sandstone: mechanical performance and microstructural analysis, International Journal of Geomechanics, with editor. 

Onyekwena, C.C., Li, Y., Fan, C., Abbey, S.J., Wu, W., and Chen, Z. (2026) Nature-inspired machine learning for optimal strength estimation of cement-SCMs stabilized soft soils and multi-objective optimization, Automation in Construction, under second review.

Jiang, Y., Hu, X., Cai, J., Huang, G., Yu, Z., Fan, C., and Yang, S. (2026) Geochemical dynamics and predictive modeling of water-rock interaction during geothermal reinjection in coal mine gobs, Geothermics, under second review.

Huang, K., Sun, Y., Xu, B., Shi, X., Sheng, G., and Fan, C. (2026) Impact of dry-wet cycles on the strength characteristics of phosphogypsum-based composite stabilized laterite soils, Transportation Research Record, under second review.

Onyekwena, C.C., Li, Y., Tang, W., Alvi, I.H., Fan, C., Wu, W., and Li, Q. (2026) Time-pressure-dependent strain-softening constitutive model for chemically stabilized soft soils, Acta Geotechnica, under review.

Chen, B., Fan, C., Zeng, B., Bu, J., and Liu, Z. (2026) Deformation and damage behavior of gently inclined layered shale induced by excavation: Insights from physical model tests and numerical simulations, International Journal of Mining Science and Technology, under review.

Huang, K., Zhang, Z., Sun, Y., Shi, X., Wang, C., Guo, X., and Fan, C. (2025) Characterization of engineering properties in stabilized expansive soil: Integrating experimental investigation and machine learning modeling, Construction and Building Materials, 485, 141960. https://doi.org/10.1016/j.conbuildmat.2025.141960

Li, B., Huang, W., Li, X., Shen, H., and Fan, C. (2025) A review of CO2 leakage along faults in CCUS: Theories, experiments, and models, Gas Science and Engineering, 139, 205641. https://doi.org/10.1016/j.jgsce.2025.205641

Tan, X., Chen, W., Tan, X., Fan, C., Mao, Y., Cheng, K., and Du, B., (2025) Missing data imputation in tunnel monitoring with a spatio-temporal correlation fused machine learning model, Journal of Civil Structural Health Monitoring, 15, 1337-1348. https://doi.org/10.1007/s13349-024-00877-8

Fan, C., Zhang, N., Jiang, B., and Liu, W.V., (2025) Rapid estimation of truck cycle time in open-pit mine haulage based on feature-optimized machine learning, Mining, Metallurgy & Exploration, 42, 665-684. https://doi.org/10.1007/s42461-025-01225-0

Arachchilage, C.B., Huang, G., Zhao, J., Fan, C., and Liu, W.V. (2024) 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, 154, 105787. https://doi.org/10.1016/j.cemconcomp.2024.105787

Zhao, J., Fan, C., Huang, G., Guo, Y., Arachchilage, C.B., Gupta, R., and Liu, W.V. (2024) Machine learning-assisted characterization of the thermal conductivity of cement-based grouts for borehole heat exchangers, Construction and Building Materials, 449, 138506. https://doi.org/10.1016/j.conbuildmat.2024.138506

Fan, C., Arachchilage, C.B., Zhang, N., Jiang, B., and Liu, W.V. (2024) 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, 38, 810-832. https://doi.org/10.1080/17480930.2024.2348877

Ugurlu, O.F., Fan, C., Jiang, B., and Liu, W.V. (2024) Deep neural network models for improving truck productivity prediction in open-pit mines, Mining, Metallurgy & Exploration, 41, 619-636. https://doi.org/10.1007/s42461-024-00924-4

Fan, C., Zhang, N., Jiang, B., and Liu, W.V. (2023) Using deep neural networks coupled with principal component analysis for forecasting ore production at open-pit mines, Journal of Rock Mechanics and Geotechnical Engineering, 16, 727-740. https://doi.org/10.1016/j.jrmge.2023.06.005

Arachchilage, C.B., Huang, G., Fan, C., and Liu, W.V. (2023) Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely-additive explanations, Construction and Building Materials, 409, 134083. https://doi.org/10.1016/j.conbuildmat.2023.134083

Fan, C., Zhang, N., Jiang, B., and Liu, W.V. (2023) Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines, Mining, Metallurgy & Exploration, 40, 583-598. https://doi.org/10.1007/s42461-023-00747-9

Fan, C., Zhang, N., Jiang, B., and Liu, W.V. (2023) Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modeling, International Journal of Mining, Reclamation and Environment, 37, 66-86. https://doi.org/10.1080/17480930.2022.2142425

Ma, S., Fan, C., and Liu, W.V. (2023) 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, 238, 2227-2239. https://doi.org/10.1177/09544070231166166

Arachchilage, C.B., Fan, C., Zhao, J., Huang, G. and Liu, W.V. (2023) A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill, Journal of Rock Mechanics and Geotechnical Engineering, 5, 2803-2815. https://doi.org/10.1016/j.jrmge.2022.12.009

Fan, C., Zhang, N., Jiang, B., and Liu, W.V. (2022) Preprocessing large datasets using Gaussian mixture modeling to improve prediction of truck productivity at mine sites, Archives of Mining Sciences, 67, 661-680. https://doi.org/10.24425/ams.2022.143680

Xu, L., Li, Q., Mathias, S., Tan, Y., Yang, D., and Fan, C. (2021) 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, 7, 93. https://doi.org/10.1007/s40948-021-00289-8

Sun, Y., Liu, J., Xue, Z., Li, Q., Fan, C., and Zhang, X. (2020) A critical review of distributed fiber optic sensing for real-time monitoring geologic CO2 sequestration, Journal of Natural Gas Science and Engineering, 103751. https://doi.org/10.1016/j.jngse.2020.103751

Fan, C., Li, Q., Ma, J., and Yang, D. (2019) Fiber Bragg grating-based experimental and numerical investigations of CO2 migration front in saturated sandstone under subcritical and supercritical conditions, Greenhouse Gases: Science and Technology, 9, 106-124. https://doi.org/10.1002/ghg.1838

Zhang, D., Fan, C., and Kuang, D. (2019) Impact assessment of interlayers on geological storage of carbon dioxide in Songliao Basin, Oil & Gas Science and Technology - Rev. IFP Energies Nouvelles, 74, 85. https://doi.org/10.2516/ogst/2019059

Fan, C., Sun Y., Li Q., Lu, H., Niu Z., and Li X. (2017) Testing technology of fiber Bragg grating in the shale damage experiment under uniaxial compression conditions, Rock and Soil Mechanics, 38, 2456-2464, in Chinese. https://ytlx.whrsm.ac.cn/EN/10.16285/j.rsm.2017.08.036

Sun, Y., Li, Q., and Fan, C. (2017) Laboratory core flooding experiments in reservoir sandstone under different sequestration pressures using multichannel fiber Bragg grating sensor arrays, International Journal of Greenhouse Gas Control, 60, 186-198. https://doi.org/10.1016/j.ijggc.2017.03.015

Sun, Y., Li, Q., Fan, C., Yang, D., Li, X., and Sun, A. (2017) Fiber-optic monitoring of evaporation-induced axial strain of sandstone under ambient laboratory conditions, Environmental Earth Sciences, 76, 379. https://doi.org/10.1007/s12665-017-6706-6

Sun, Y., Li, Q., Yang, D., Fan, C., and Sun, A. (2016) Investigation of the dynamic strain responses of sandstone using multichannel fiber-optic sensor arrays, Engineering Geology, 213, 1-10. https://doi.org/10.1016/j.enggeo.2016.08.008