ABSTRACT:

The Rock Engineering System (RES) approach provides a framework for geotechnical engineering design, and has been used successfully to support a wide range of rock engineering. RES solutions require the identification of the principal parameters that play a role in the process under examination. The relationship between these parameters and other related variables are then assessed to form an interaction matrix that represents the system. Previous studies have considered blast optimization using an RES approach. However, these approaches consider few details regarding the existing fracture network. How a rock mass reacts to a blast is dependent on the rock itself and on the discontinuities within the rock mass. A set of discrete fracture network (DFN) realizations generated and assessed using MoFrac are used to derive inputs for a RES fragmentation interaction matrix. Parameters representing block size and rock mass integrity derived from fracture network models are identified that can be incorporated into a RES solution. A new parameter for inclusion in existing solutions measuring fracture intensity variability is also presented. From analysis of a fracture network, estimations of in situ block size distribution, fracture set intensity, and variability are presented that can be integrated in a RES approach to blast optimization.

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