Flyrock in surface mining–part 4. Adaptation of Gurney model to predict burden velocity, flyrock velocity, and explosive energy partitioning in bench
- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 10
- File Size:
- 1876 KB
- Publication Date:
- Jan 30, 2026
Abstract
The Gurney approach to explosive/inert material interaction was adapted to analyse the face
velocity in bench blasting. The model is based on the blasthole diameter, rock and explosive
density, burden, spacing, linear charge density, and the Gurney energy constant. It is validated
by comparing its predictions with a set of 20 field measurements of face velocities reported
by Chiappetta et al. (1983) in an iron ore mine. The Gurney model links the observed large
scatter of measured face velocities to the variation of the Gurney energy constant. This in turn
is linked to the variability of the gas pressure acting on the burden. These variable pressures
are generated when detonation product gases migrate into the extensive and complex fracture
network around and between in-row blastholes.
The energy efficiency of burden movement can be derived from the model. It is shown that
~7% of the explosive’s chemical energy is available for gas expansion work on the burden; of this
quantity, 36% is actually converted to burden kinetic energy. That is, less than 3% of chemical
energy is ultimately expended in burden displacement and throw. The model further indicatesnthat the projection of high-velocity (say, 100 m/s) flyrock is possible only when the path of leastnresistance through the burden has an effective density far less than the host rock. An equationnis derived that identifies the combinations of burden and path density that may yield flyrock.
These values are specific to a particular baseline blast design.
Citation
APA: (2026) Flyrock in surface mining–part 4. Adaptation of Gurney model to predict burden velocity, flyrock velocity, and explosive energy partitioning in bench
MLA: Flyrock in surface mining–part 4. Adaptation of Gurney model to predict burden velocity, flyrock velocity, and explosive energy partitioning in bench. The Southern African Institute of Mining and Metallurgy, 2026.