Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion

Author:

Zhou JianORCID,Chen Chao,Khandelwal ManojORCID,Tao Ming,Li Chuanqi

Funder

National Natural Science Foundation of China

Innovation-Driven Project of Central South University

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Reference84 articles.

1. Melo F, Vivanco F, Fuentes C (2009) Calculated isolated extracted and movement zones compared to scaled models for block caving. Int J Rock Mech Min Sci 46:731–737. https://doi.org/10.1016/j.ijrmms.2008.09.012

2. Chen X, Liu Y, Ge Q et al (2019) Study on caving fragmentation prediction of block caving with BCF software. China Mine Eng 48(6):6–9

3. Sánchez V, Castro RL, Palma S (2019) Gravity flow characterization of fine granular material for Block Caving. Int J Rock Mech Min Sci 114:24–32. https://doi.org/10.1016/j.ijrmms.2018.12.011

4. Zhang D (2003) Rock mechanics of block caving method and ore-caved fragmentation. In: Proceedings of the fifth annual conference of China nonferrous metals society, Beijing, China, pp 95–96+122

5. Guo L, Hou K, Feng X et al (2020) Risk assessment of natural caving mining process in Pulang copper mine based on FSE–ANP. Ind Saf Environ Prot 46(1):9–12

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