Grant: Alliance Grants
Laurentian University of Sudbury
$113,900.00
Synthetic Rock Mass (SRM) modelling Incorporating Realistic 3D Discrete Fracture Network (DFN) for Advanced Rock Engineering
EF 2021-22
Résumé
Rock masses contain discontinuities at different scales, such as cracks, joints, shears and faults, forming discrete fracture networks (DFNs). These fracture networks have significant effects on rock fragmentation, excavation stability, fluid flow, and contaminant transport. The motivation of this research program is to incorporate realistic DFN in advanced numerical simulation models to investigate the excavation response of mining engineering structures such as tunnels, stopes, and open-pit slopes so as to reduce rock engineering risk and improve mining safety and productivity. The objectives of the project are: (1) to conduct research to improve the capabilities of the MoFrac tool for engineers and geoscientists in Canada to conduct realistic 3D DFN modelling effectively; (2) to demonstrate how advanced rock engineering in fractured rock masses can be conducted using the advanced synthetic rock mass modelling approach that incorporates realistic DFN models; (3) to transfer knowledge to the industry by means of (i) deploying the new algorithms and modules in the MoFrac tool and making the new-feature-enhanced tool available to Canadian researchers and subsequently to industry at large; (ii) training of new HQPs and personnel from the industry partners; and (iii) publishing the research results in high impact peer-reviewed journals and international conferences. The approach to be adopted is a combined application of experimental observation, field monitoring, and numerical modeling. The outcome of the research will contribute to nuclear waste management and mining in Canada to allow engineers to have an advanced tool to conduct engineering design analysis in fractured rock masses. This has the distinct potential to materially improve the safety, productivity, and profitability of surface and underground engineering projects.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
560390-2020
Name nom
Cai, Ming
Department département
Bharti School of Engineering
Organization id
26
Institution établissement
Laurentian University of Sudbury
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2020
Award amount
113900
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
202
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Mineral resources ( prospecting, exploration, mining, extraction, processing)
Area of application fr
Ressources minérales (prospection, exploration, mines, extraction et préparation)
Research subject code
1403
Research subject group en
Mining and mineral processing
Research subject group fr
Génie minier et minéral
Research subject en
Rock mechanics
Research subject fr
Mécanique des roches
Installment
inst:2
Partie
1
Nb partie
5
Application title
Synthetic Rock Mass (SRM) modelling Incorporating Realistic 3D Discrete Fracture Network (DFN) for Advanced Rock Engineering
Keyword
NSERC
Application summary
Rock masses contain discontinuities at different scales, such as cracks, joints, shears and faults, forming discrete fracture networks (DFNs). These fracture networks have significant effects on rock fragmentation, excavation stability, fluid flow, and contaminant transport. The motivation of this research program is to incorporate realistic DFN in advanced numerical simulation models to investigate the excavation response of mining engineering structures such as tunnels, stopes, and open-pit slopes so as to reduce rock engineering risk and improve mining safety and productivity. The objectives of the project are: (1) to conduct research to improve the capabilities of the MoFrac tool for engineers and geoscientists in Canada to conduct realistic 3D DFN modelling effectively; (2) to demonstrate how advanced rock engineering in fractured rock masses can be conducted using the advanced synthetic rock mass modelling approach that incorporates realistic DFN models; (3) to transfer knowledge to the industry by means of (i) deploying the new algorithms and modules in the MoFrac tool and making the new-feature-enhanced tool available to Canadian researchers and subsequently to industry at large; (ii) training of new HQPs and personnel from the industry partners; and (iii) publishing the research results in high impact peer-reviewed journals and international conferences. The approach to be adopted is a combined application of experimental observation, field monitoring, and numerical modeling. The outcome of the research will contribute to nuclear waste management and mining in Canada to allow engineers to have an advanced tool to conduct engineering design analysis in fractured rock masses. This has the distinct potential to materially improve the safety, productivity, and profitability of surface and underground engineering projects.