Investigation of the effects of blasting design parameters and rock properties on blast-induced ground vibrations

Gorgulu K., ARPAZ E., Uysal O., DURUTÜRK Y. S., YÜKSEK A. G., Kocaslan A., ...Daha Fazla

Arabian Journal of Geosciences, cilt.8, sa.6, ss.4269-4278, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 8 Sayı: 6
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1007/s12517-014-1477-9
  • Dergi Adı: Arabian Journal of Geosciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.4269-4278
  • Anahtar Kelimeler: Blasting, Ground vibrations, Rock properties, Artificial neural networks, SARCHESHMEH COPPER MINE, NEURAL-NETWORK, PREDICTION, FREQUENCY
  • Atatürk Üniversitesi Adresli: Evet

Özet

This study addresses the effects of rock characteristics and blasting design parameters on blast-induced vibrations in the Kangal open-pit coal mine, the Tulu open-pit boron mine, and the Kirka open-pit boron mine. In this study, multiple vibration measurements have been conducted, and the related data have been analyzed and evaluated. Several artificial neural network (ANN) and regression models based on the same blasting design parameters, resistivity, and P-wave and S wave velocities of the surrounding rocks have been constructed to estimate the peak particle velocities and the frequencies of related blast-induced vibrations. The data derived from these models and the classical evaluations indicate that ANNs provide more reliable results than the other methods.