The application of small sample theory and confidence interval method to determine the representative mean Leeb rebound hardness value
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10064-023-03512-w.pdf
Reference61 articles.
1. Akbay D, Ekincioğlu G (2022) Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values. Environ Earth Sci 81:206. https://doi.org/10.1007/s12665-022-10332-w
2. Aldeeky H, Al Hattamleh O, Rababah S (2020) Assessing the uniaxial compressive strength and tangent Young’s modulus of basalt rock using the Leeb rebound hardness test. Mater Construc 70:e230. https://doi.org/10.3989/MC.2020.15119
3. Altindag R, Güney A (2006) ISRM Suggested Method for determining the Shore hardness value for rock. Int J Rock Mech Min Sci 43:19–22. https://doi.org/10.1016/J.IJRMMS.2005.04.004
4. Alvarez Grima M, Babusï Ka R (1999) Fuzzy model for the prediction of unconfined compressive strength of rock samples. Int J Rock Mech Min Sci 36:339–349. https://doi.org/10.1016/S0148-9062(99)00007-8
5. Aoki H, Matsukura Y (2007) A new technique for non-destructive field measurement of rock-surface strength: an application of the Equotip hardness tester to weathering studies. Earth Surf Process Landforms 32:1759–1769. https://doi.org/10.1002/esp.1492
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