Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42461-024-01028-9.pdf
Reference89 articles.
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2. Rosales-Huamani JA, Perez-Alvarado RS, Rojas-Villanueva U, Castillo-Sequera JL (2020) Design of a predictive model of rock breakage by blasting using artificial neural networks. Symmetry (Basel) 12(9):1–17. https://doi.org/10.3390/SYM12091405
3. Chung SH, Katsabanis PD (2000) Fragmentation prediction using improved engineering formulae. Fragblast 4(3–4):198–207. https://doi.org/10.1076/frag.4.3.198.7392
4. Kulatilake PHSW, Qiong W, Hudaverdi T, Kuzu C (2010) Mean particle size prediction in rock blast fragmentation using neural networks. Eng Geol 114(3–4):298–311. https://doi.org/10.1016/j.enggeo.2010.05.008
5. Morin MA, Ficarazzo F (2006) Monte Carlo simulation as a tool to predict blasting fragmentation based on the Kuz-Ram model. Comput Geosci 32(3):352–359. https://doi.org/10.1016/j.cageo.2005.06.022
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