Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Collaborative Research and Development Grants

Laurentian University of Sudbury

$166,900.00

Improving the reliability of geotechnical design by incorporating realistic 3D DFN modeling

FY 2016-17

Summary
Rock masses contain discontinuities at different scales, such as cracks, joints, shears and faults, forming discrete fracture networks (DFNs). The geometry of these fracture networks and the fracture surface conditions control the strength and deformation behaviour of rock masses and the geometry and interconnectivity of a DFN can influence groundwater flow and contaminant mobility. The motivation of this research program is to explore and test the application of innovative rule-based geostatistical methods in deriving improved realizations of site-specific DFN's that explicitly honour fracture network geometry and spatial characteristics. The engineering challenge is to advance the science of DFN modelling and to develop a robust software tool for engineers and geoscientists to conduct 3D DFN modelling more effectively and reliably. The objectives of the project are to: (1) develop improved algorithms, novel interface paradigms and novel workflows to allow geotechnical engineers to generate visually realistic and geologically plausible fracture networks; (2) investigate how rock engineering in fractured rock masses can be enhanced with the aid of better-characterized DFNs; (3) transfer knowledge to the industry by means of embedding algorithmic and methodological improvements in the MoFrac software tool and (ii) training of new HQP. 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 the nuclear waste management organization and the mining industry in Canada to have an alternative tool to generate improved fracture network models at different scales (from sub-regional to tunnel scales). This has the distinct potential to advance DFN generation and materially improve the safety, productivity, and profitability of underground engineering projects.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
470490-2014
Name nom
Cai, Ming
Department département
Engineering, School of
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
2016
Competition year année de concours
2014
Award amount
166900
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
Partie
2
Nb partie
4
Application title
Improving the reliability of geotechnical design by incorporating realistic 3D DFN modeling
Keyword
NSERC
Application summary
Rock masses contain discontinuities at different scales, such as cracks, joints, shears and faults, forming discrete fracture networks (DFNs). The geometry of these fracture networks and the fracture surface conditions control the strength and deformation behaviour of rock masses and the geometry and interconnectivity of a DFN can influence groundwater flow and contaminant mobility. The motivation of this research program is to explore and test the application of innovative rule-based geostatistical methods in deriving improved realizations of site-specific DFN's that explicitly honour fracture network geometry and spatial characteristics. The engineering challenge is to advance the science of DFN modelling and to develop a robust software tool for engineers and geoscientists to conduct 3D DFN modelling more effectively and reliably. The objectives of the project are to: (1) develop improved algorithms, novel interface paradigms and novel workflows to allow geotechnical engineers to generate visually realistic and geologically plausible fracture networks; (2) investigate how rock engineering in fractured rock masses can be enhanced with the aid of better-characterized DFNs; (3) transfer knowledge to the industry by means of embedding algorithmic and methodological improvements in the MoFrac software tool and (ii) training of new HQP. 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 the nuclear waste management organization and the mining industry in Canada to have an alternative tool to generate improved fracture network models at different scales (from sub-regional to tunnel scales). This has the distinct potential to advance DFN generation and materially improve the safety, productivity, and profitability of underground engineering projects.
Laurentian University of Sudbury - $166,900 Grant (20… | Canada Spends