Forecasting the Depth of Failure in Underground Development

G. Sweby; P. Brenchley; P. Novomodny; J. Player; A. Sacco

doi:10.2991/978-94-6463-258-3_47

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Forecasting the Depth of Failure in Underground Development

Authors

G. Sweby¹^{, *}, P. Brenchley², P. Novomodny¹, J. Player¹, A. Sacco¹

¹MineGeotech P/L, Perth, WA, Australia

²29Metals, Perth, WA, Australia

^*Corresponding author. Email: gordonsweby@minegeotech.com.au

Corresponding Author

G. Sweby

Available Online 8 November 2023.

DOI: 10.2991/978-94-6463-258-3_47 How to use a DOI?
Keywords: Model forecasting; Damage mapping; Inelastic modelling
Abstract: A back-analysis case study is presented whereby the depth-of-failure in the rockmass surrounding underground development was correlated with borehole camera measurements. The case study took place at the Golden Grove Underground Mine (29 Metals) at a depth of ~1150–1400 m with moderately complex geology. Purpose designed holes were drilled into the backs and walls at ~420 locations in various lithologies including intrusive dykes, then video recordings using a forward-looking borehole camera were made for office study and analysis. The depth-of-failure, where observable, was recorded and compared against inelastic numerical model (RS3) outputs to determine the appropriate parameters for forward analysis. A regression analysis approach was then used to determine the value of the parameter which best fit the data. It was found that the Maximum Shear Strain parameter was the best fit to observations in the foliated host rockmass, while the Extension Strain parameter fit observations in the intrusive dykes best. The study has positioned the operation well for making forecasts of future rockmass damage at increasing depth, thereby improving confidence in their mining reserve.
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: 10.2991/978-94-6463-258-3_47
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-258-3_47 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - G. Sweby
AU  - P. Brenchley
AU  - P. Novomodny
AU  - J. Player
AU  - A. Sacco
PY  - 2023
DA  - 2023/11/08
TI  - Forecasting the Depth of Failure in Underground Development
BT  - Proceedings of the Rocscience International Conference  (RIC 2023)
PB  - Atlantis Press
SP  - 478
EP  - 490
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-258-3_47
DO  - 10.2991/978-94-6463-258-3_47
ID  - Sweby2023
ER  -

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