Proposal of a new method for calculating GSI

• Autorzy: Vivanco Angélica , Avendaño Eslainer

Identyfikatory

DOI

10.37190/msc222906

• Języki publikacji: EN

Abstrakty

EN

Rock mass classification systems are simple but valuable tools for the qualitative and quantitative classification of rock masses and for the planning of the fortification of mining excavations. Unfortunately, in the prefeasibility phase, not all the information needed for a preliminary project evaluation is always available, and one of the few available information is the RQD, however, although it is very necessary to determine the GSI to analyze the failure criteria, it is difficult to obtain at this stage of the project. Although several correlations between the different classification systems have been identified, the most abundant ones are those relating GSI as a function of RMR and as a function of Barton’s Q. As for GSI relationships as a function of RQD, only three recent relationships are available: Hoek et al. (2013), Santa et al. (2019), and Xia et al. (2022). Therefore, this study presents a correlational analysis of the GSI and RQD classification systems, using robust nonparametric statistics, with the aim of determining an expression to estimate GSI in the field. Among the results, it is highlighted that better GSI prediction results are obtained when 25% < RQD ≤ 87%, with a maximum error of ±14 points, improving the estimation accuracy by 62% with respect to current proposals. Despite the above, the difficulty of interpreting more accurately the specific geological characteristics of each rock mass remains.

Słowa kluczowe

EN

GSI; geotechnics; RQD; rock mass classification; correlation

• Wydawca: Wydział Geoinżynierii, Górnictwa i Geologii, Instytut Górnictwa Politechniki Wrocławskiej
• Czasopismo: Mining Science
• Rocznik: 2022
• Tom: Vol. 29
• Strony: 93--105
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Vivanco Angélica

• Mining Engineering, School of Engineering and Architecture, Universidad Arturo Prat, Iquique, Chile

• https://orcid.org/0000-0002-9786-2154

autor

Avendaño Eslainer

• Mining Engineering, School of Engineering and Architecture, Universidad Arturo Prat, Iquique, Chile

• https://orcid.org/0000-0002-9615-317X

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