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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:7
Deposited By:Engineering
Deposited On:2020-03-10
Last Modified:2021-02-12
Downloads:6 View Download Statistics

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