TY - JOUR
T1 - Raise boring machines – A comprehensive review of performance prediction and operational challenges
AU - Shaterpour-Mamaghani, Aydin
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/2
Y1 - 2025/2
N2 - Raise Boring Machines (RBMs) are mechanical miners that are preferred over conventional drilling and blasting methods for drilling / excavating vertical or inclined shafts in mining and construction projects. The use of RBMs not only reduces overall operational costs but also increases profitability. This review paper aims to present empirical, deterministic, and numerical models that are used to predict operational and performance parameters of RBMs. The paper also highlights the major challenges faced during raise boring operations and offers recommendations for addressing them. Lastly, the paper discusses important trends in the design of tricone bits and reamerhead cutters for RBMs.
AB - Raise Boring Machines (RBMs) are mechanical miners that are preferred over conventional drilling and blasting methods for drilling / excavating vertical or inclined shafts in mining and construction projects. The use of RBMs not only reduces overall operational costs but also increases profitability. This review paper aims to present empirical, deterministic, and numerical models that are used to predict operational and performance parameters of RBMs. The paper also highlights the major challenges faced during raise boring operations and offers recommendations for addressing them. Lastly, the paper discusses important trends in the design of tricone bits and reamerhead cutters for RBMs.
KW - Deterministic models
KW - Empirical models
KW - Numerical models
KW - Operational challenges
KW - Performance prediction
KW - Raise boring machines
UR - http://www.scopus.com/inward/record.url?scp=85210315605&partnerID=8YFLogxK
U2 - 10.1016/j.tust.2024.106246
DO - 10.1016/j.tust.2024.106246
M3 - Review article
AN - SCOPUS:85210315605
SN - 0886-7798
VL - 156
JO - Tunnelling and Underground Space Technology
JF - Tunnelling and Underground Space Technology
M1 - 106246
ER -