Reference number : GC-2017-Q2-00506, amendment number : , agreement type : G, recipient legal name : Esmaeili, Kamran (University of Toronto), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The proposed research project aims to improve the blasting process in Milton quarry by integrating advanced_x000D_
monitoring and instrumentation techniques. A geophysical ground penetrating radar will be used to_x000D_
characterize the spatial variation of open voids in the limestone rock mass at the quarry site. These voids are_x000D_
causing the escape of explosive energy and consequently a poor rock fragmentation. Moreover, an aerial_x000D_
method based on Unmanned Aerial Vehicle technology will be used to characterize the geometrical rock_x000D_
structural characteristics which will be used to estimate the in-situ block size distribution of rock mass. The_x000D_
information on spatial variation of open voids and discontinuties within the rock mass will be used as input to_x000D_
build a 3D structural model for the rock mass using Discrete Fracture Network model. The model allows_x000D_
improving the practice of decking blast in the quarry. The drone technology will be used to measure the_x000D_
post-blast rock size distribution using image analysis. This allows assessing the effectivness of the blast_x000D_
decking modification on the blast-induced fragmentation size distribution. Using advanced instrumentation and_x000D_
monitoring techniques together with the state of the art structural modeling approach will allow improvment of_x000D_
blasting outcomes at Milton quarry., program purpose french : The proposed research project aims to improve the blasting process in Milton quarry by integrating advanced_x000D_
monitoring and instrumentation techniques. A geophysical ground penetrating radar will be used to_x000D_
characterize the spatial variation of open voids in the limestone rock mass at the quarry site. These voids are_x000D_
causing the escape of explosive energy and consequently a poor rock fragmentation. Moreover, an aerial_x000D_
method based on Unmanned Aerial Vehicle technology will be used to characterize the geometrical rock_x000D_
structural characteristics which will be used to estimate the in-situ block size distribution of rock mass. The_x000D_
information on spatial variation of open voids and discontinuties within the rock mass will be used as input to_x000D_
build a 3D structural model for the rock mass using Discrete Fracture Network model. The model allows_x000D_
improving the practice of decking blast in the quarry. The drone technology will be used to measure the_x000D_
post-blast rock size distribution using image analysis. This allows assessing the effectivness of the blast_x000D_
decking modification on the blast-induced fragmentation size distribution. Using advanced instrumentation and_x000D_
monitoring techniques together with the state of the art structural modeling approach will allow improvment of_x000D_
blasting outcomes at Milton quarry., agreement title english : Improving blast-induced rock fragmentation in Milton Quarry, agreement title french : Improving blast-induced rock fragmentation in Milton Quarry, agreement number : EGP, agreement value : 24980.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada