Proceedings of the Rocscience International Conference (RIC 2023)

Rock Reinforcement Data for Analysis and Design

Authors
John Hadjigeorgiou1, *
1University of Toronto, Toronto, ON, Canada
*Corresponding author. Email: John.Hadjigeorgiou@utoronto.ca
Corresponding Author
John Hadjigeorgiou
Available Online 8 November 2023.
DOI
10.2991/978-94-6463-258-3_15How to use a DOI?
Keywords
Rock Reinforcement; Data Quality; UnWedge
Abstract

This paper discusses the challenges of selecting representative ground support data to investigate the influence of reinforcement in design of underground excavations in hard rock. This is presented with reference to a limit equilibrium rigid wedge analysis. The case is made that the use of “typical” or “default” values introduces a significant degree of uncertainty which may not be always acknowledged. This is highlighted with reference to friction stabilizer data. The choice of reinforcement input data can have a significant impact on the interpretation of the results in any numerical analyses.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Rocscience International Conference (RIC 2023)
Series
Atlantis Highlights in Engineering
Publication Date
8 November 2023
ISBN
978-94-6463-258-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-258-3_15How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - John Hadjigeorgiou
PY  - 2023
DA  - 2023/11/08
TI  - Rock Reinforcement Data for Analysis and Design
BT  - Proceedings of the Rocscience International Conference  (RIC 2023)
PB  - Atlantis Press
SP  - 146
EP  - 155
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-258-3_15
DO  - 10.2991/978-94-6463-258-3_15
ID  - Hadjigeorgiou2023
ER  -