Assessment and Prediction of BIGV using Different Attenuation Equation in Opencast Mine
Anand Kumar1, Sunil Kumar2, Sanjay Kumar Sharma3, C. S. Singh4

1Mr. Anand Kumar, Department of Mining Engineering, IIT (BHU) Varanasi  UP India.
2Mr. Sunil Kumar, Department of Mining Engineering, IIT (BHU) Varanasi – 221005 UP India.
3Prof. Sanjay Kumar Sharma, Department of Mining Engineering, IIT (BHU), Varanasi.
4Dr. C.S. Singh, Mining Engineering, IIT (BHU) Varanasi
Manuscript received on January 19, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on February 10, 2020. | PP: 2296-2303 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1783029420/2020©BEIESP | DOI: 10.35940/ijitee.D1783.029420
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Abstract: The Drilling and blasting play an important role in opencast mining for exploration and excavation of mineral resources. At the same time, they have some adverse effects on surrounding environment as well as nearby community and structures. The Peak particle velocity (PPV) is the most effective parameter for evaluation of blast-induced ground vibration (BIGV). A number of researchers established an attenuation equation and gave permissible level for structures and environment on the basis of PPV and frequency (i.e. USBM, IS DGMS, DIN, etc.). A total number of 46 datasets have been recorded at an interval of 25m & 50m from blast site to observation points along survey line and also acquire the row data like blast design parameters, explosive parameters, etc. in a Mine ‘B’ of Madhya Pradesh. The prediction of BIGV Velocity by different empirical predictor models have been made. These attenuation equations have been helpful to minimize the negative effect of BIGV and optimize the blast design parameters. The site-specific constant has been determined by regression statistical analysis. In the present study, correlation and comparison between the measured PPV and predicted PPV for the safe, smooth, and eco-environment blasting operation has been carried out. 
Keywords:  Blasting, Vibration Velocity, Max. Charge per delay, Regression analysis, Attenuation Model
Scope of the Article: Artificial Intelligent Methods, Models, Techniques