Rock fragment size prediction using RSM in bench blasting: a focus on the influencing factors and their interactions
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-11072-8.pdf
Reference45 articles.
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2. Alipour A, Mokharian M, Chehreghani S (2018) An application of fuzzy sets to the blastability index (BI) used in rock engineering. Periodica Polytechnica Civ Eng 62(3):580–589. https://doi.org/10.3311/PPci.11276
3. Alipour A, Mokhtarian M (2021) RSM-based model to estimate the V-cut drill and blast pattern specific charge in rock tunneling. Int J Geomech 21(11):06021030. https://doi.org/10.1061/(ASCE)GM.1943-5622.0002180
4. Alipour A, Mokhtarian M, Abdollahei Sharif J (2012) Artificial neural network or empirical criteria? A comparative approach in evaluating maximum charge per delay in surface mining — Sungun copper mine. J Geol Soc India 79(6):652–658. https://doi.org/10.1007/s12594-012-0102-3
5. Babanouri N, Asadizadeh M, Hasan-Alizade Z (2020) Modeling shear behavior of rock joints: a focus on interaction of influencing parameters. Int J Rock Mech Min Sci 134:104449. https://doi.org/10.1016/j.ijrmms.2020.104449
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