Optimized design of drilling and blasting operations in open pit mines under technical and economic uncertainties by system dynamic modelling-Reference-Cited by-同舟云学术

Optimized design of drilling and blasting operations in open pit mines under technical and economic uncertainties by system dynamic modelling

Published:2018-11 Issue:6 Volume:28 Page:839-848
ISSN:2095-2686
Container-title:International Journal of Mining Science and Technology
language:en
Short-container-title:International Journal of Mining Science and Technology

Author:

Abbaspour H.,Drebenstedt C.,Badroddin M.,Maghaminik A.

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology

Reference17 articles.

1. Open pit mine planning and design;Hustrulid,2013

2. Optimization of drilling and blasting operations in an open pit mine-the SOMAIR experience;Afeni;Mining Sci Technol,2009

3. Reducing drill and blast cost through blast optimisation-a case sudy;Afum;Ghana Mining J,2015

4. Sontamino P, Drebenstedt C. A prototype dynamics model of bench blasting design. In: The 10th international conference on mining, materials and petroleum engineering. Songkhla: Sciences and Technologies Towards; 2012.

5. Optimization of blasting design parameters on open pit bench a case study of Nchanga open pits;Bowa;Int J Sci Technol Res,2015

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing blasting efficiency: A smart predictive model for cost optimization and risk reduction;Resources Policy;2024-10

2. Grade control drillhole spacing and mining selectivity determination using high resolution simulations applied on distinctly heterogeneous open pit mines;Mining Technology: Transactions of the Institutions of Mining and Metallurgy;2024-08-14

3. Fracture and Damage of Slit Charge Blasting in the Layered Rock Mass;Applied Sciences;2024-07-04

4. A comprehensive survey on machine learning applications for drilling and blasting in surface mining;Machine Learning with Applications;2024-03

5. Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines;Mining, Metallurgy & Exploration;2024-02-12