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


Özyurt M. C., Karadoğan A., Kalaycı Şahinoğlu Ü., Özer Ü., Mutlu H. E., Odabasi T. C.

APPLIED SCIENCES, cilt.2025, sa.15, ss.1-20, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2025 Sayı: 15
  • Basım Tarihi: 2025
  • Doi Numarası: 10.3390/app15179447
  • Dergi Adı: APPLIED SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, Communication Abstracts, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-20
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Rock’s response time to blasting (Tmin) refers to the critical time elapsed between thedetonation of the explosive to the fragmentation and displacement of the rock, and it isa 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.