Dr Jinlong Fu
BEng, MSc, PhD

 

Research Impact

SELECTED PUBLICATIONS:

  1. Jinlong Fu, Dunhui Xiao, Rui Fu, Chenfeng Li, Chuanhua Zhu, Rossella Arcucci and Ionel M. Navon. Physics-data combined machine learning method for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes. Computer Methods in Applied Mechanics and Engineering, 2023, 404:115771. (https://doi.org/10.1016/j.cma.2022.115771)

  2. Jinlong Fu, Min Wang, Dunhui Xiao, Shan Zhong, Xiangyun Ge, Minglu Wu and Ben Evans. Hierarchical reconstruction of 3D well-connected porous media from 2D exemplars using statistics-informed neural network. Computer Methods in Applied Mechanics and Engineering, 2023, 410:116049. (https://doi.org/10.1016/j.cma.2023.116049)

  3. Jinlong Fu, Dunhui Xiao, Dongfeng Li, Hywel R. Thomas and Chenfeng Li. Stochastic reconstruction of 3D microstructures from 2D cross-sectional images using machine learning-based characterization. Computer Methods in Applied Mechanics and Engineering, 2022, 390:114532. (https://doi.org/10.1016/j.cma.2021.114532)

  4. Jinlong Fu, Shaoqing Cui, Song Cen and Chenfeng Li. Statistical characterization and reconstruction of heterogeneous microstructures using deep neural network. Computer Methods of Applied Mechanics and Engineering, 2021, 373:113516. (https://doi.org/10.1016/j.cma.2020.113516)

  5. Jinlong Fu, Hywel R. Thomas and Chenfeng Li. Tortuosity in Porous Media: Image Analysis and Physical Simulation, Earth-Science Review, 2021, 212:103439. (https://doi.org/10.1016/j.earscirev.2020.103439)

  6. Jinlong Fu, Min Wang, Bin Chen, Jinsheng Wang, Dunhui Xiao, Min Luo and Ben Evans. A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation. Engineering with Computers, 2023:1-32. (https://doi.org/10.1007/s00366-023-01841-8)

  7. Shaoqing Cui, Jinlong Fu, Song Cen, Hywel R. Thomas and Chenfeng Li. The correlation between statistical descriptors of heterogeneous materials. Computer Methods in Applied Mechanics and Engineering, 2021, 384:113948. (https://doi.org/10.1016/j.cma.2021.113948)

  8. Jinlong Fu, Jiabin Dong, Yongliang Wang, Yang Ju, D. Roger J. Owen and Chenfeng Li. Resolution effect: An error correction model for intrinsic permeability of porous media calculated from lattice Boltzmann method. Transport in Porous Media, 2020, 132, 627-656. (https://doi.org/10.1007/s11242-020-01406-z)

  9. Zhixiong Zeng, Jinlong Fu*, Yuntian Feng and Min Wang. Revisiting the empirical particle-fluid coupling model used in DEM-CFD by high-resolution DEM-LBM-IMB simulations: A 2D perspective. International Journal for Numerical and Analytical Methods in Geomechanics, 2023. (https://dx.doi.org/10.1002/nag.3496)

  10. Xia Ming, Jinlong Fu*, YT Feng, Fengxiang Gong and Jin Yu. A particle-resolved heat-particle-fluid coupling model by DEM-IMB-LBM. Journal of Rock Mechanics and Geotechnical Engineering, 2023. (https://doi.org/10.1016/j.jrmge.2023.02.030)

 

ATTENDED CONFERENCES:

  • Invited Key Speaker. The UK Association for Computational Mechanics (UKACM) Conference 2023, Coventry, UK, 19-21 April 2023.
  • Invited Speaker. Statistical Characterization, Microstructure Reconstruction and Transport Property Prediction for Porous Media, The 8th ECCOMAS Congress, Oslo, Norway, 5-9 June 2022.
  • Jinlong Fu, Dunhui Xiao and Chenfeng Li. Physics-informed machine learning for model order reduction of fluid flows, International Conference on Data-driven Computing and Engineering Machine Learning 2022, Beijing, China, 25-27 Sep. 2022
  • Jinlong Fu, Dunhui Xiao and Chenfeng Li. Physics-data combined method for reduced-order modelling of nonlinear dynamical systems. The UK Association for Computational Mechanics (UKACM) Conference 2022, Nottingham, UK, 19-21 April 2022.
  • Jinlong Fu, Hywel R. Thomas and Chenfeng Li. Permeability prediction for natural porous rocks through feature selection and machine learning. InterPore 2021 (The 13th Annual Meeting of the International Society for Porous Media), Online, 31 May - 4 June 2021.
  • Jinlong Fu, Hywel R. Thomas and Chenfeng Li. Permeability prediction for natural porous rocks through feature selection and machine learning. The UK Association for Computational Mechanics (UKACM) Conference 2021, Loughborough, UK, 14-16 April 2021.
  • Jinlong Fu and Chenfeng Li. Stochastic characterization and reconstruction for microstructures using deep neural network. The 5th Interpore UK Conference, Middlesbrough, UK, 2-3 Sep. 2019.
  • Jinlong Fu, Jiabin Dong and Chenfeng Li. Resolution effect: An error correction model for intrinsic permeability of sandstones estimated from lattice Boltzmann method. The UK Association for Computational Mechanics (UKACM) Conference 2019, London, UK, 10-12 April 2019.
  • Jinlong Fu and Chenfeng Li. Geometric tortuosity characterization of 3D porous media: A comparative study. The 2nd China InterPore Conference on Porous Media & The 4th International Conference on Digital Core Analysis, Qingdao, China, 8-17 July 2018.
  • Jinlong Fu, Shaoqing Cui and Chenfeng Li. Correlation analysis between microstructural descriptors of porous media. The 3rd Interpore Conference on Porous Media & the 1st Monash-Warwick PREFRAC Workshop on Hydraulic Fracturing, Coventry, UK, 4-5 Sep. 2017.
  • S.S.E Lam, Jinlong Fu, V. Wong and T. H.T. Chan.  Investigation of water seepage in multi-storey buildings by vibration measurements and moisture monitoring. The 24th Australasian Conference on the Mechanics of Structure & Materials (ACMSM24), Perth, Australia, 6-9 Dec. 2016.
  • S.S.E Lam, Jinlong Fu and V. Wong. Advanced detection of water seepage in buildings based on pipe vibration and material moisture monitoring. The 7th International Forum on Advances in Structural Engineering, Xi’an, China, 19-21 Aug. 2016.
  • Jinlong Fu and Tianli Huang. Comparative study of optimum determination methods of hanger forces for tied-arch bridges at completion stage. The 23rd National Academic Conference on Structural Engineering, Lanzhou, China, 10-12 Oct. 2014.