Development of an Explosive Energy Distribution Optimization System to Accommodate Drilling Errors by Adjusting Blasthole Charges

S. Klerkx, J. Sattarvand, M. Soleymani Shishvan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

The inaccurately drilled blastholes from the planned locations cause changes in the spatial distribution of explosive energy; some areas of the blast may receive a surplus of explosive energy, while others see a reduction. This results in less uniform fragmentation, reduces the efficiency of mining operations and increases costs. Additionally, it can lead to slope stability issues, flyrock, and uneven benches. To mitigate these problems, this study attempts to reduce differences in the explosive energy distribution (EED) through an optimization approach that adjusts the height of explosive columns in blastholes. Two optimization algorithms, the Genetic Algorithm (GA) and Tabu Search (TS), are tested. The latter is preferred for its local search neighbourhood strategy that gives superior computation times. Applications on different blast patterns result in improvements of 0.53-1.54%, or 2.14–3.94% when only the affected blocks are considered.
Original languageEnglish
Title of host publicationProceedings APCOM 2021
PublisherThe Southern African institute of Mining and Metallurgy
Pages243-256
Number of pages14
ISBN (Print)978-1-928410-26-3
Publication statusPublished - 2021
EventAPCOM 2021 Mineral Industry 4.0: The next digital transformation in mining - Virtual event
Duration: 30 Aug 20211 Sep 2021
https://apcom2021.com/

Conference

ConferenceAPCOM 2021 Mineral Industry 4.0
Abbreviated titleAPCOM 2021
Period30/08/211/09/21
Internet address

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