Applicability of geomechanical classifications for estimation of strength properties in Brazilian rock masses

Santos, Tatiana Barreto dos; Lana, Milene Sabino; Santos, Allan Erlikhman Medeiros; Silveira, Larissa Regina Costa

doi:10.1590/0001-3765201720160065

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The geological-geotechnical characterization model adopted for analysis was according to Santos et al (2017). For the geological-geotechnical characterization of the slope, the RQD of the rock masses was determined by means of the relationship proposed by Palmström (1982), Equation (1).…”

Section: Methodsmentioning

confidence: 99%

Rockfall Hazard Assessment and Geological-Geotechnical Characterization of a Rock Slope in Br-356

Silva

Santos

2020

HOLOS

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The rockfall hazard assessment for roads is very important in geotechnical engineering business. As the process is very fast and complex, a hazard analysis is of fundamental importance for the adoption of preventive action plans and mitigation of potential impacts. Therefore, this article presents a hazard analysis for rockfall and the geological-geotechnical characterization of a rock slope on the BR-356, Ouro Preto, Minas Gerais, Brazil. In the methodology, parameters related to the geotechnical characterization, geometry and slope characteristics were inserted, as signs of block fall activity, impact of external influences and characteristics of the catchment area. According to Rock Mass Rating (RMR), the rock slope was classified as Very Good (Class I). The hazard classification for the slope analyzed varies from low to high. When the rainfall of the rainy season is considered, the slope is classified as a high hazard, while in the dry season, it is classified as low hazard. The study revealed that even if the hazard class is low, the slope deserves attention, since there is not enough space for rock blocks to be deposited before reaching the road, which can generate damages and temporarily paralyze the activities of the road.

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Section: Methodsmentioning

confidence: 99%

Rockfall Hazard Assessment and Geological-Geotechnical Characterization of a Rock Slope in Br-356

Silva

Santos

2020

HOLOS

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Rock mass classification method applying neural networks to minimize geomechanical characterization in underground Peruvian mines

Brousset,

Pehovaz,

Quispe

et al. 2023

Energy Reports

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A New Methodology for Rockfall Hazard Assessment in Rocky Slopes

Silveira

Lana

Alameda-Hernández

et al. 2022

Mining

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This article presents an approach to rockfall hazard assessment for rocky slopes based on a previously published rockfall hazard methodology. The original method is appropriate to high alpine rocky slopes exposed to large scale deformations. It evaluates the parameters related to the geomechanical characterization of rock mass, indications of activity, external influences and event intensity. The original methodology was modified to consider different contexts, including geological, climatic and social environments. Parameters related to external influences were modified; the geometry and characteristics of the slope and the catchment area were introduced. The original methodology and the new proposal were applied to two urban slopes and one railway slope in order to test and compare the methods. The original proposal could not represent the rockfall conditions of these slopes. The new proposal was validated using two mine slopes, whose conditions of stability are known. The results of the analyses with the urban slope and the railway slope were coherent with the situation observed at the field. The validation in the mine slopes showed that this approach is applicable in several situations, being able to determine how hazardous a slope is in relation to rockfall events.

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Applicability of geomechanical classifications for estimation of strength properties in Brazilian rock masses

Cited by 3 publications

References 8 publications

Rockfall Hazard Assessment and Geological-Geotechnical Characterization of a Rock Slope in Br-356

Rockfall Hazard Assessment and Geological-Geotechnical Characterization of a Rock Slope in Br-356

Rock mass classification method applying neural networks to minimize geomechanical characterization in underground Peruvian mines

A New Methodology for Rockfall Hazard Assessment in Rocky Slopes

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