Development of new performance prediction models for a raise boring machine based on indentation tests

The Australasian Institute of Mining and Metallurgy
A Sheterpour-Mamaghani H Copur C Balci D Tumac E Dogan E Altintas A Kocbay T Erdogan A Gumus
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
5
File Size:
235 KB
Publication Date:
Nov 29, 2022

Abstract

Excavation of vertical and/or inclined shafts in the underground structures requiring careful design and planning. Raise Boring Machines (RBMs) are commonly used for excavation of shafts for different purposes such as ventilation, orepass, and human-material transportation. Proper selection and accurate performance prediction of RBMs are two main parameters affecting the cost estimation and planning/scheduling. Indentation test is one of the most preferred methods that can be used to predict advance rate of RBMs. This study aims at suggestion of new prediction model for instantaneous penetration rate of RBMs based on indentation tests. Different rock (core) samples (with different geological origins) are obtained from the raise boring application projects in Turkey; then, the indentation tests are carried out on them by using a real-life insert (button), which is used in reamerhead cutters investigated in this study. Finally, the statistical relationships between the field performance and the indentation indices are investigated. The study indicates that the brittleness index (the ratio of maximum applied force to corresponding penetration) can be used to predict instantaneous penetration rate of RBMs used in the vertical raise bored shafts excavating rocks having uniaxial compressive strength lower than 100 MPa.
Citation

APA: A Sheterpour-Mamaghani H Copur C Balci D Tumac E Dogan E Altintas A Kocbay T Erdogan A Gumus  (2022)  Development of new performance prediction models for a raise boring machine based on indentation tests

MLA: A Sheterpour-Mamaghani H Copur C Balci D Tumac E Dogan E Altintas A Kocbay T Erdogan A Gumus Development of new performance prediction models for a raise boring machine based on indentation tests. The Australasian Institute of Mining and Metallurgy, 2022.

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