New Model of Burden Thickness Estimation for Blasting of Open Pit Mines

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 247

This Paper With 9 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_IJE-34-5_034

تاریخ نمایه سازی: 11 اردیبهشت 1400

Abstract:

Suitable pattern design of drilling and blasting is very important in open pit mines. Using of explosive energy for rock fragmentation with minimum cost of production is one of the blasting purposes in open pit mines. The most important parameters of blasting are including diameter of hole, specific charge, burden thickness and suitable dimensions of rock fragmentation. In this paper, specific charge is calculated based on quality of rock mass and then based on definition of specific charge, maximum and minimum thickness of burden in open pit mines is calculated. In this paper, a new models of burden estimation based on quadratic equations is presented. Therefore, based on this new equations, other parameters of blasting are corrected. Also, the validation results of the new equations in this article show the new burden thicknesses have slightly differences with the experimental results. The maximum error of calculated burden is equal ۳% based on obtained data. Therefore, the output results of these new equations can be reliable and accurate for calculations of the burden thickness.

Authors

E. Elahi

Faculty of Mining Engineering, University of Sistan and Baluchestan, Zahedan, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • 1. Ndibalema, A., and Mine, A. A. G. G., "Capturing ...
  • 2. Tosun, A., Konak, G., Toprak, T., Karakus, D., and ...
  • 5. Choudhary, B. S., and Sonu, K., "Assessment of powder ...
  • Predicting peak particle velocity by artificial neural networks and multivariate regression analysis - Sarcheshmeh copper mine, Kerman, Iran [مقاله ژورنالی]
  • 8. Neale, A. M., "Blast optimization at Kriel Colliery", Journal ...
  • 9. Oraee, K., and Asi, B., "Prediction of Rock Fragmentation ...
  • 10. Anderson, O., "Blast hole burden design-introducing a new formula", ...
  • 11. Jimeno, E., Jimino, C., and Carcedo, A., Drilling and ...
  • 12. Ouchterlony, F., "The Swebrec© function: linking fragmentation by blasting ...
  • 14. Rustan, A. P., "Micro-sequential contour blasting—how does it influence ...
  • 16. Sendlein, L., Yazicigil, H., and Carlson, C., Surface Mining ...
  • 17. Berta, G., "Blasting-induced vibration in tunnelling", Tunnelling and Underground ...
  • 19. Moomivand, H., and Vandyousefi, H., "Development of a new ...
  • نمایش کامل مراجع