Hybrid Data-Driven Polyaxial Rock Strength Meta Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00603-023-03383-3.pdf
Reference63 articles.
1. Bahrami B, Mohsenpour S, Miri MA, Mirhaseli R (2017) Quantitative comparison of fifteen rock failure criteria constrained by polyaxial test data. J Petrol Sci Eng 159:564–580. https://doi.org/10.1016/j.petrol.2017.09.065
2. Bao T, Burghardt J (2022) A Bayesian approach for in-situ stress prediction and uncertainty quantification for subsurface engineering. Rock Mech Rock Eng 55(8):4531–4548. https://doi.org/10.1007/s00603-022-02857-0
3. Benz T, Schwab R (2008) A quantitative comparison of six rock failure criteria. Int J Rock Mech Min Sci 45(7):1176–1186. https://doi.org/10.1016/j.ijrmms.2008.01.007
4. Burghardt J (2018) Geomechanical risk assessment for subsurface fluid disposal operations. Rock Mech Rock Eng 51(7):2265–2288. https://doi.org/10.1007/s00603-018-1409-1
5. Chang C, Haimson B (2000) True triaxial strength and deformability of the German continental deep drilling program (KTB) deep hole amphibolite. J Geophys Res 105(B8):18999–19013
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