Preliminary Blast Fragmentation Modeling in an Underground Aggregate Operation

L. Shields, J. Calnan, J. Silva, E. Maldonado, Z. Agioutantis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The availability of fragmentation models for underground mine-to-mill optimization is fundamental, given that fragmentation models establish which blasting parameters can be manipulated to produce a desired particle size distribution. Given the ever-changing conditions in which mining takes place (geology, stress conditions, mining procedures, etc.), any applicable model must be flexible, adaptable, and dynamic to provide a range of predictions with acceptable accuracy. This paper discusses the results and model validation of using multivariate regression analysis to analyze blast fragmentation data from an underground aggregate operation. These are the initial results with respect to the development of a probabilistic model for underground bench blasts that predicts the resultant particle size distribution.

Original languageEnglish
Title of host publication58th US Rock Mechanics / Geomechanics Symposium 2024, ARMA 2024
ISBN (Electronic)9798331305086
DOIs
StatePublished - 2024
Event58th US Rock Mechanics / Geomechanics Symposium 2024, ARMA 2024 - Golden, United States
Duration: Jun 23 2024Jun 26 2024

Publication series

Name58th US Rock Mechanics / Geomechanics Symposium 2024, ARMA 2024

Conference

Conference58th US Rock Mechanics / Geomechanics Symposium 2024, ARMA 2024
Country/TerritoryUnited States
CityGolden
Period6/23/246/26/24

Bibliographical note

Publisher Copyright:
Copyright 2024 ARMA, American Rock Mechanics Association.

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

Fingerprint

Dive into the research topics of 'Preliminary Blast Fragmentation Modeling in an Underground Aggregate Operation'. Together they form a unique fingerprint.

Cite this