A Proper Methodology to Characterize the Associated Variability of UCS Data for the Metamorphic Rocks Based on Outlier Detection Methods
Author:
Affiliation:
1. Dept. of Applied Sciences, Univ. of Quebec at Chicoutimi (UQAC), Chicoutimi, QC, Canada.
2. SNC-Lavalin Group, Inc., Montreal, QC, Canada.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485309.002
Reference22 articles.
1. Rock mass characterization by high-resolution sonic and GSI borehole logging;Agliardi F.;Rock Mech Rock Eng,2016
2. Bouzeran L. Pierce M. Andrieux P. and Williams E. (2019 24-25 June 2019). Accounting for rock mass heterogeneity and buckling mechanisms in the study of excavation performance in foliated ground at Westwood mine Deep Mining 2019: Proceedings of the Ninth International Conference on Deep and High Stress Mining Muldersdrift.
3. Maximum surface settlement based classification of shallow tunnels in soft ground
4. Doerffel, K. (1967). Die statistische Auswertung von Analysenergebnissen (Vol. 2). Springer.
5. A suggested improvement to the Schmidt rebound hardness ISRM suggested method with particular reference to rock machineability;Goktan R.;Int. J. Rock Mech. Min,1993
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