User:HongyuanLiu

Dr Hongyuan Liu is currently a senior lecturer in geomechanics at the School of Engineering, the College of Sciences and Engineering, University of Tasmania. Hong's research interest is in the field of computational geomechanics, tunnelling, and rock mechanics. In particular, Hong's research focuses on the development of advanced computational methods such as enriched finite element method and hybrid finite-discrete element method and their application in studying rock/rock mass fracture and failure, associated microseismicities, and their interactions with underground fluids such as groundwater, oil, gas and hazardous waste. Recently, Hong has been developing a hybrid finite-discrete element method (HFDEM) for modelling rock fracture and fragmentation in mechanical excavation and rock blasting, which has been applied to model rock failure in fundamental rock mechanics tests (Liu et al., 2015), rock joint shearing (Liu et al., 2016), and near surface rock blasting (An et al., 2017). To overcome the computationally expensive issue of HFDEM, Hong and his team at UTAS parallelized HFDEM on the basis of general-purpose graphic-processing-unit (GPGPU) using computing unified device architecture (CUDA) C/C++ together with Dr Daisuke Fukuda at Hokkaidu University in Japan, who visited me at UTAS for one year to learn, parallelize and further develop the HFDEM. The detailed computing performance analysis conducted by Hong's team (Fukuda et al., 2019a, b) shows the GPGPU-parallelized HFDEM can achieve the maximum speedups of 128.6 and 286 times in the case of the 2D and 3D modellings, respectively, and has the computational complexity of O(N), i.e. the amount of computation is proportional to the number of the elements. More recently, adaptive contact activation, mass scaling and hyperplane separation theorem have been implemented to further speed up GPGPU-parallelized HFDEM (Mohammadnejad et al., 2019). CSIRO has awarded a top-up PhD scholarship to Hong's team to apply the GPGPU-parallelized HFDEM in modelling rock chipping process in rock cutting experiments, which results in the PhD thesis of advanced FDEM modelling of rock fracture process and applications in rock cutting (Mohammadnejad et al., 2020). CSIRO then awarded another top-up PhD scholarship to Hong's team to model rock fracture and fragmentation by smooth blast and destress blast in deep underground (Han et al., 2020a, b).

Hong's research has resulted in more than 70 peer-reviewed journal papers including many in the leading geomechanics journals, such as International Journal of Rock Mechanics and Mining Science, and Rock Mechanics and Rock Engineering, which has attracted more than 2000 citations and an h-index of 24.

References:

Han, H., Fukuda, D., Liu, H.Y., Fathi Salmi, E., Sellers, E., Liu, T., Chan, A.H.C. 2020. FDEM simulation of rock damage evolution induced by contour blasting in the bench of tunnel at deep depth. Tunnelling and Underground Space Technology, https://doi.org/10.1016/j.tust.2020.103495

Mohammadnejad, M., Dehkhoda, S., Fukuda, D., Liu, H.Y., Chan, A.H.C. 2020. GPGPU-parallelised hybrid finite-discrete element modelling of rock chipping and fragmentation process in mechanical cutting. Journal of Rock Mechanics and Geotechnical Engineering: https://doi.org/10.1016/j.jrmge.2019.12.004

Han, H., Fukuda, D., Liu, H.Y., Fathi Salmi, E., Sellers, E., Liu, T., Chan, A.H.C. 2020. Combined finite-discrete element modelling of rock fracture and fragmentation induced by contour blasting during tunnelling with high horizontal in-situ stress. International Journal of Rock Mechanics and Mining Science 127: 104214. https://doi.org/10.1016/j.ijrmms.2020.104214

Mohammadnejad, M., Fukuda, D., Liu, H.Y., Dehkhoda, S., Chan, A.H.C. 2019. GPGPU-parallelized 3D combined finite-discrete element modelling of rock fracture with adaptive contact activation approach. Computational Particle Mechanics DOI: 10.1007/s40571-019-00287-4

Fukuda, D., Mohammadnejad, M., Liu, H.Y., Zhang, Q., Zhao, J., Dehkhoda, S., Chan, A.H.C. 2019. Development of a 3D hybrid finite-discrete element simulator based on GPGPU-parallelized computation for modelling rock fracturing under quasi-static and dynamic loading conditions. Rock Mechanics and Rock Engineering, 1-34. DOI: 10.1007/s00603-019-01960-z

Fukuda, D., Mohammadnejad, M., Liu, H.Y., Dehkhoda, S., Chan, A.H.C., Cho, S.H., Min, G.J., Han, H., Kodama, J. Fuji, Y. 2019. Development of a GPGPU parallelized hybrid finite-discrete element method and applications in modelling rock fracture. International Journal for Numerical and Analytical Methods in Geomechanics, 1-28. DOI: https://doi.org/10.1002/nag.2934

An, H.M., Liu, H.Y., Han, H., Zheng, X., Wang, X.G. 2017. Hybrid finite-discrete element modelling of dynamic fracture and resultant fragment casting and muck-piling by rock blast. Computers and Geotechnics 81: 322-345.

Liu, H.Y., Han, H., An, H.M., Shi, J.J. 2016. Hybrid finite-discrete element modelling of asperity degradation and gouge grinding during direct shearing of rough rock joints. International Journal of Coal Science & Technology 3(3): 295-310.

Liu, H.Y., Kang, Y.M., Lin, P. 2015. Hybrid finite-discrete element modelling of geomaterials fracture and fragment muck-piling. International Journal of Geotechnical Engineering 9(2): 115-131.

HongyuanLiu (talk) 07:44, 13 July 2020 (UTC)