Scholarly record
EVALUATION OF COMPUTER SIMULATION AND MODELING METHODS FOR BLASTING PROCESSES IN SURFACE MINES
Abstract
The evaluation of computer simulation and modeling methods of pull processes carried out in open pit mines is a broad and complex topic, which involves the analysis and comparison of different techniques and tools used to simulate and model pull processes in quarries and open pit mines. The importance of computer simulation and modeling of recovery processes plays a crucial role in optimizing resource extraction, reducing costs, minimizing environmental impact, and ensuring worker safety. These technologies make it possible to predict the effects of different blasting strategies and choose the most effective approach. Evaluating simulation and modeling methods involves comparing their accuracy, efficiency, and applicability under different operating conditions. This includes: - Compare simulation results with observed data to gauge how close the simulations are to reality. - The balance between detail and accuracy of the model and the need for it to be simple enough to be used effectively. - Evaluate the resources required to run the simulations, including hardware costs and compute time. Finally, the evaluation of simulation and modeling methods is also based on their applicability in real projects. Case studies and best practice examples highlight how these technologies have been used to solve specific problems in mining operations, such as optimizing explosion design, reducing induced vibration, improving rock fragmentation, and minimizing environmental impact. Computer simulation and modeling of pull processes in open-pit mining operations are essential for optimizing mining operations. Evaluating and choosing the right method depends on several factors, including the type of mine, geological features, project objectives, and available resources.
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References3
Brown, L. (2021). Integration of machine learning with traditional blasting simulation. In Proceedings of the International Conference on Mining Innovation (pp. 204-210). Mining Innovation Press.
Data Management and Processing for Shot Blasting Design � User Manual, Rev.G of 12.07.2018, Software Version: 2.4.8.36
Wang, H., Zhang, Y., & Kumar, S. (2022). Real-Time Data Integration in Mining: Challenges and Solutions. Mining Operations Research, 45(4), 300-320.
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