Bayesian inference of rock strength anisotropy : uncertainty analysis of the Hoek–Brown failure criterion.

Simple item page
dc.contributor.authorGomes, Guilherme José Cunha
dc.contributor.authorGaona, John Harry Forero
dc.contributor.authorVargas Júnior, Eurípedes do Amaral
dc.contributor.authorVrugt, Jasper A.
dc.date.accessioned2022-09-16T17:09:19Z
dc.date.available2022-09-16T17:09:19Z
dc.date.issued2021pt_BR
dc.description.abstractStrength properties of most sedimentary and metamorphic rocks are known to vary with direction. Knowledge of this so-called rock anisotropy is of utmost importance for reliability analysis and engineering design. The purpose of this paper is twofold. First, we propose a formulation of the Hoek–Brown (HB) failure criterion, which calculates strength anisotropy using a non-uniform scaling of the stress tensor. We use two scaling factors, CN and CS , to link the orientation of the anisotropy planes with the loading direction. As we assume isotropic parameters for intact rock, our HB model formulation is relatively easy to use and has the additional advantage that it does not demand any modifications to the HB failure criterion. Second, we embed our HB model formulation in a Bayesian framework and illustrate its power and usefulness using experimental data of anisotropic rock samples published in the literature. Results demonstrate that our HB model formulation predicts accurately measured peak strengths of rocks with different degrees of anisotropy, confining stresses and anisotropy orientations. The uncertainty in peak strength of anisotropic rocks can be quite large, reiterating the need for an explicit treatment of strength anisotropy uncertainty in rock mechanics studies. The Bayesian methodology is general-purpose, and, as such, can help better inform geotechnical engineers, contractors and other professionals about rock conditions and design reliability and assist decision makers in determining the overall risks of engineering structures.pt_BR
dc.identifier.citationGOMES, G. J. C. et al. Bayesian inference of rock strength anisotropy: uncertainty analysis of the Hoek–Brown failure criterion. International Journal of Rock Mechanics & Mining Sciences, v. 148, 2021. Disponível em: <https://www.sciencedirect.com/science/article/pii/S136516092100335X>. Acesso em: 29 abr. 2022.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ijrmms.2021.104952pt_BR
dc.identifier.issn1365-1609
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/15322
dc.identifier.uri2https://www.sciencedirect.com/science/article/pii/S136516092100335Xpt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectAnisotropic rockspt_BR
dc.subjectHoek–Brown strength criterionpt_BR
dc.subjectBayesian inferencept_BR
dc.subjectModel calibrationpt_BR
dc.titleBayesian inference of rock strength anisotropy : uncertainty analysis of the Hoek–Brown failure criterion.pt_BR
dc.typeArtigo publicado em periodicopt_BR
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ARTIGO_BayesianInferenceRock.pdf
Size:
2.68 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
DEAMB - Artigos publicados em periódicos