A prediction model for specific energy required by point attack picks based on a hybrid evolutionary machine learning technique-Reference-Cited by-同舟云学术

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A prediction model for specific energy required by point attack picks based on a hybrid evolutionary machine learning technique

Published:2022-05 Issue:10 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Hojjati Shahabedin,Jeong Hoyoung,Cho Jung-Woo,Tumac Deniz,Jeon Seokwon

Funder

Korea Agency for Infrastructure Technology Advancement

Korea Institute of Energy Technology Evaluation and Planning

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/s12517-022-10225-z.pdf

Reference65 articles.

1. Abu Bakar MZ, Gertsch LS (2013) Evaluation of saturation effects on drag pick cutting of a brittle sandstone from full scale linear cutting tests. Tunn Undergr Sp Technol 34:124–134. https://doi.org/10.1016/j.tust.2012.11.009

2. Abu Bakar MZ, Gertsch LS, Rostami J (2014) Evaluation of fragments from disc cutting of dry and saturated sandstone. Rock Mech Rock Eng 47:1891–1903. https://doi.org/10.1007/s00603-013-0482-8

3. Acaroglu O, Ozdemir L, Asbury B (2008) A fuzzy logic model to predict specific energy requirement for TBM performance prediction. Tunn Undergr Sp Technol 23:600–608. https://doi.org/10.1016/j.tust.2007.11.003

4. Balci C (2009) Correlation of rock cutting tests with field performance of a TBM in a highly fractured rock formation: a case study in Kozyatagi-Kadikoy metro tunnel. Turkey Tunn Undergr Sp Technol 24:423–435. https://doi.org/10.1016/j.tust.2008.12.001

5. Balci C, Bilgin N (2007) Correlative study of linear small and full-scale rock cutting tests to select mechanized excavation machines. Int J Rock Mech Min Sci 44:468–476. https://doi.org/10.1016/j.ijrmms.2006.09.001

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2. Determination of drilling rate index based on mineralogical and textural properties of natural stones;Bulletin of Engineering Geology and the Environment;2023-06-21

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