Investigation of blast-induced ground vibrations in the Tülü boron open pit mine

Blasting, which is widely used in hard rock mining, construction, and quarrying, can have a considerable impact on the surrounding environment. The intensity of the blast-induced ground vibration is affected by parameters such as the physical and mechanical properties of the rock mass, characteristics of the explosive, and the blasting design. The rock characteristics can change greatly from field to field or from one part of a bench to another part, and can have directional variability according to discontinuities in the geological formation and structure. In this study, field measurements were carried out and their results were evaluated to determine blast-induced ground vibrations at the Eti Mine Tülü Boron Mining Facility, Turkey. Our results showed different field constants for the propagating blast vibrations depending on the direction of propagation (K = 211.25–3,671.13 and β = 1.04–1.90) and the damping behavior of the particle velocity. Additionally, we found that the field constants decrease as the rock mass rating (%) values diminishes. A much higher correlation coefficient (R2 = 0. 95) between the predicted and measured peak particle velocity (PPV) values was achieved for our modeling studies for PPV prediction using artificial neural networks compared with classical evaluation methods.

[1]  P. Pal Roy,et al.  Vibration control in an opencast mine based on improved blast vibration predictors , 1991 .

[2]  Amitava Ghosh,et al.  A SIMPLE NEW BLAST VIBRATION PREDICTOR(BASED ON WAVE PROPAGATION LAWS) , 1983 .

[3]  Masoud Monjezi,et al.  Prediction of Rock Fragmentation Due to Blasting in Sarcheshmeh Copper Mine Using Artificial Neural Networks , 2010 .

[4]  T. Singh,et al.  Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach , 2006 .

[5]  U. Langefors,et al.  The modern technique of rock blasting. , 1968 .

[6]  Wilbur I. Duvall,et al.  Blasting Vibrations and Their Effects on Structures , 1971 .

[7]  Mohammad Ataei,et al.  Prediction of blast induced ground vibrations in Karoun III power plant and dam: A neural network , 2010 .

[8]  Ercan Arpaz,et al.  Comparison of Blast-Induced Ground Vibration Predictors in Seyitomer Coal Mine , 2011 .

[9]  Z. Bieniawski Engineering rock mass classifications , 1989 .

[10]  P. Palroy,et al.  Dynamic effects in various rock mass and their predictions , 1987 .

[11]  T. Hagan Rock breakage by explosives , 1980 .

[12]  J. F. Wiss,et al.  Control of vibration and blast noise from surface coal mining. Volume IV. Executive report. Open file report (final) 1 July 1975-28 February 1978 , 1978 .

[13]  M. R. Mozdianfard,et al.  Predicting of blasting vibrations in Sarcheshmeh copper mine by neural network , 2010 .

[14]  T. N. Singh,et al.  Prediction of blast-induced ground vibration using artificial neural network , 2009 .

[15]  D. P. Blair,et al.  Attenuation of explosion‐generated pulse in rock masses , 1982 .

[16]  Patrick van der Smagt,et al.  Introduction to neural networks , 1995, The Lancet.

[17]  Mark Beale,et al.  Neural Network Toolbox™ User's Guide , 2015 .

[18]  Laurene V. Fausett,et al.  Fundamentals Of Neural Networks , 1993 .

[19]  P B Attewell,et al.  GROUND VIBRATION FROM SHALLOW SUB-SURFACE BLASTS , 1964 .

[20]  Charles H. Dowding,et al.  Suggested method for blast vibration monitoring , 1992 .

[21]  Terrence L. Fine,et al.  Feedforward Neural Network Methodology , 1999, Information Science and Statistics.

[22]  W. Duvall,et al.  SPHERICAL PROPAGATION OF EXPLOSION-GENERATED STRAIN PULSES IN ROCK , 1958 .

[23]  M. T. Mohamed,et al.  Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry , 2009 .

[24]  C. Helvaci,et al.  Geology and mineralogy of the Bigadic borate deposits and vicinity , 1991 .

[25]  F. López Gayarre,et al.  Predicting blasting propagation velocity and vibration frequency using artificial neural networks , 2012 .