2023
DOI: 10.3390/su15108424
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Optimized Data-Driven Models for Prediction of Flyrock due to Blasting in Surface Mines

Abstract: Using explosive material to fragment rock masses is a common and economical method in surface mines. Nevertheless, this method can lead to some environmental problems in the surrounding regions. Flyrock is one of the most dangerous effects induced by blasting which needs to be estimated to reduce the potential risk of damage. In other words, the minimization of flyrock can lead to sustainability of surroundings environment in blasting sites. To this aim, the present study develops several new hybrid models for… Show more

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Cited by 4 publications
(1 citation statement)
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“…The study focused on spacing, burden, powder factor, stemming, and density as inputs, with flyrock distance as the output. While a considerable array of algorithms was employed, the range of their inputs remains limited, with the study concluding that spacing is the most critical point in flyrock modeling [14].…”
Section: Introductionmentioning
confidence: 99%
“…The study focused on spacing, burden, powder factor, stemming, and density as inputs, with flyrock distance as the output. While a considerable array of algorithms was employed, the range of their inputs remains limited, with the study concluding that spacing is the most critical point in flyrock modeling [14].…”
Section: Introductionmentioning
confidence: 99%