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GPGPU-parallelised hybrid finite-discrete element modelling of rock chipping and fragmentation process in mechanical cutting
Citation
Mohammadnejad, M and Dehkhoda, S and Fukuda, D and Liu, H and Chan, A, GPGPU-parallelised hybrid finite-discrete element modelling of rock chipping and fragmentation process in mechanical cutting, Journal of Rock Mechanics and Geotechnical Engineering, 12, (2) pp. 310-325. ISSN 1674-7755 (2020) [Refereed Article]
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Copyright Statement
Copyright 2020 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/
DOI: doi:10.1016/j.jrmge.2019.12.004
Abstract
Mechanical cutting provides one of the most flexible and environmentally friendly excavation methods.
It has attracted numerous efforts to model the rock chipping and fragmentation process, especially using
the explicit finite element method (FEM) and bonded particle model (BPM), in order to improve cutting
efficiency. This study investigates the application of a general-purpose graphic-processing-unit parallelised hybrid finite-discrete element method (FDEM) which enjoys the advantages of both explicit FEM
and BPM, in modelling the rock chipping and fragmentation process in the rock scratch test of mechanical rock cutting. The input parameters of FDEM are determined through a calibration procedure of
modelling conventional Brazilian tensile and uniaxial compressive tests of limestone. A series of scratch
tests with various cutting velocities, cutter rake angles and cutting depths is then modelled using FDEM
with calibrated input parameters. A few cycles of cutter/rock interactions, including their engagement
and detachment process, are modelled for each case, which is conducted for the first time to the best
knowledge of the authors, thanks to the general purpose graphic processing units (GPGPU) parallelisation. The failure mechanism, cutting force, chipping morphology and effect of various factors on them
are discussed on the basis of the modelled results. Finally, it is concluded that GPGPU-parallelised FDEM
provides a powerful tool to further study rock cutting and improve cutting efficiencies since it can
explicitly capture different fracture mechanisms contributing to the rock chipping as well as chip formation and the separation process in mechanical cutting. Moreover, it is concluded that chipping is
mostly owed to the mix-mode I-II fracture in all cases although mode II cracks and mode I cracks are the
dominant failures in rock cutting with shallow and deep cutting depths, respectively. The chip
morphology is found to be a function of cutter velocity, cutting depth and cutter rake angle.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | numerical simulation, FDEM, rock cutting, chipping, cracking |
| Research Division: | Engineering |
| Research Group: | Civil engineering |
| Research Field: | Civil geotechnical engineering |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in engineering |
| UTAS Author: | Mohammadnejad, M (Mr Mojtaba Mohammadnejad) |
| UTAS Author: | Fukuda, D (Dr Daisuke Fukuda) |
| UTAS Author: | Liu, H (Dr Hong Liu) |
| UTAS Author: | Chan, A (Professor Andrew Chan) |
| ID Code: | 137873 |
| Year Published: | 2020 |
| Web of Science® Times Cited: | 23 |
| Deposited By: | Engineering |
| Deposited On: | 2020-03-10 |
| Last Modified: | 2022-08-30 |
| Downloads: | 20 View Download Statistics |
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