Prediction of Reaming Performance of Vertical Raises Using Rock Properties and Operational Parameters

A. Shaterpour-Mamaghani, H. Copur, D. Tumac, C. Balci, T. Erdogan, E. Dogan, E. Altintas, A. Kocbay, O. Sirin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Raise Boring Machines (RBMs) as the fast and safe operation of drilling excavation of vertical and/or inclined shafts are used in the mining and construction projects for different purposes. Proper selection and accurate performance prediction of these machines are very important issues affecting the cost estimation and planning of the projects. However, reliable models for predicting performance of these machines have been quite limited. This study aims to develop empirical performance prediction models for vertical reaming operations (unit penetration rate and specific energy parameters) by using physical-mechanical properties of rock samples, operational parameters of pilot hole drilling and reaming. Field performance data of the pilot hole drilling and reaming operations, as well as rock samples, are collected in different raise excavation projects in Turkey. The evaluation indicates that weight on bit of pilot hole drilling with the rotational speed of reaming and static elasticity modulus of the rocks could be used to predict the field specific energy. Consumed reamerhead torque and indirect tensile strength and dynamic elasticity modulus of rocks could be used to predict the unit penetration rate.

Original languageEnglish
Title of host publication56th U.S. Rock Mechanics/Geomechanics Symposium
PublisherAmerican Rock Mechanics Association (ARMA)
ISBN (Electronic)9780979497575
Publication statusPublished - 2022
Event56th U.S. Rock Mechanics/Geomechanics Symposium - Santa Fe, United States
Duration: 26 Jun 202229 Jun 2022

Publication series

Name56th U.S. Rock Mechanics/Geomechanics Symposium

Conference

Conference56th U.S. Rock Mechanics/Geomechanics Symposium
Country/TerritoryUnited States
CitySanta Fe
Period26/06/2229/06/22

Bibliographical note

Publisher Copyright:
© 2022 ARMA, American Rock Mechanics Association.

Fingerprint

Dive into the research topics of 'Prediction of Reaming Performance of Vertical Raises Using Rock Properties and Operational Parameters'. Together they form a unique fingerprint.

Cite this