Establishment of a Novel Fragmentation Prediction Model Incorporating Rock’s Response Time to Blasting

Rock’s response time to blasting (Tmin) refers to the critical time elapsed between the detonation of the explosive to the fragmentation and displacement of the rock, and it is a fundamental parameter that directly impacts blast-induced fragmentation. Although existing studies acknowledge the importance of this parameter, there are uncertainties regarding the factors determining Tmin. Furthermore, existing models use complex parameters, fail to demonstrate sufficient performance in different engineering scenarios, or are not suitable for use as a practical engineering tool. To address these uncertainties and to reveal the relationship between Tmin and fragmentation performance with an integrated model, a comprehensive dataset was obtained from 27 blasts conducted in 12 different quarries in Türkiye. The study followed a systematic methodology including geomechanical characterization, Tmin measurement via high-speed videography, and pre- and post-blast photogrammetric fragment size analysis. The findings enabled the development of a model that predicts Tmin with high accuracy (R2 = 0.789, MAPE: %16.56) using parameters easily measurable in practice. More importantly, this estimation of Tmin was used in an integrated model where the mean fragment size (P50) could be predicted directly and successfully (R2 = 0.837, MAPE: %8.37), providing a significant contribution to the literature. In light of these results, the primary engineering contribution of the study is that it has developed a practical and reliable tool applicable in the field, which treats Tmin as an optimizable design variable and provides a seamless prediction framework from blasting design to the rock fragmentation.

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Publication Details

Journal
Applied Sciences
Published
2025-08-28
DOI
https://doi.org/10.3390/app15179447
Citations
1
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.86
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article

Establishment of a Novel Fragmentation Prediction Model Incorporating Rock’s Response Time to Blasting

Ümit Özer, Meriç Can Özyurt, Ülkü Kalaycı Şahinoğlu, Abdulkadir Karadoğan et al.
1 citations
Applied Sciences
Rock Mechanics and Modeling
0.86
article

Establishment of a Novel Fragmentation Prediction Model Incorporating Rock’s Response Time to Blasting

Ümit Özer, Meriç Can Özyurt, Ülkü Kalaycı Şahinoğlu, Abdulkadir Karadoğan, Hilal Erem Mutlu, Taki Can Odabasi
article en
1 citations

Abstract

Rock’s response time to blasting (Tmin) refers to the critical time elapsed between the detonation of the explosive to the fragmentation and displacement of the rock, and it is a fundamental parameter that directly impacts blast-induced fragmentation. Although existing studies acknowledge the importance of this parameter, there are uncertainties regarding the factors determining Tmin. Furthermore, existing models use complex parameters, fail to demonstrate sufficient performance in different engineering scenarios, or are not suitable for use as a practical engineering tool. To address these uncertainties and to reveal the relationship between Tmin and fragmentation performance with an integrated model, a comprehensive dataset was obtained from 27 blasts conducted in 12 different quarries in Türkiye. The study followed a systematic methodology including geomechanical characterization, Tmin measurement via high-speed videography, and pre- and post-blast photogrammetric fragment size analysis. The findings enabled the development of a model that predicts Tmin with high accuracy (R2 = 0.789, MAPE: %16.56) using parameters easily measurable in practice. More importantly, this estimation of Tmin was used in an integrated model where the mean fragment size (P50) could be predicted directly and successfully (R2 = 0.837, MAPE: %8.37), providing a significant contribution to the literature. In light of these results, the primary engineering contribution of the study is that it has developed a practical and reliable tool applicable in the field, which treats Tmin as an optimizable design variable and provides a seamless prediction framework from blasting design to the rock fragmentation.

Applied SciencesVol. 15(17)
Ministry of Industry and Trade (CZ), Istanbul University-Cerrahpaşa (TR), Teknoloji Arastirma ve Gelistirme Endustriyel Urunler Bilisim Teknolojileri San Tic (TR)
Openalex Percentile: Top 26%
Rock Mechanics and Modeling
0.86
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