Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Milene Sabino LANA"'
Autor:
Larissa Regina Costa Silveira, Milene Sabino Lana, Pedro Alameda-Hernández, Tatiana Barreto dos Santos
Publikováno v:
Mining, Vol 2, Iss 4, Pp 791-808 (2022)
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 evalu
Externí odkaz:
https://doaj.org/article/cfb3b97cb4dd4ffe8c581ca91fd05072
Publikováno v:
International Journal of Mining Science and Technology, Vol 29, Iss 3, Pp 419-427 (2019)
Rock slope hazard assessment is an important part of risk analysis for open pit mines. The main parameters that can lead to rock slope failures are the parameters traditionally used in geomechanical classifications, the slope geometrical parameters a
Externí odkaz:
https://doaj.org/article/15785e3f94504bfcbe05ed79b2b3f389
Autor:
Milene Sabino Lana
Publikováno v:
International Journal of Mining Science and Technology, Vol 24, Iss 6, Pp 777-782 (2014)
This paper presents three case studies comprising failure mechanisms in phyllite mine slopes at Quadrilátero Ferrífero, State of Minas Gerais, Brazil. Numerical modeling techniques were used in this study. Failure mechanisms involving discontinuiti
Externí odkaz:
https://doaj.org/article/44aa1ff7e06d421aaf97eaa8009b229d
Publikováno v:
Arabian Journal of Geosciences. 16
Publikováno v:
Neural Computing and Applications. 34:4633-4642
Solutions in geotechnics have been optimizing with the aid of machine learning methods. The aim of this paper is to apply different machine learning algorithms in order to achieve rock mass classification. It is demonstrated that RMR classification s
Publikováno v:
Research, Society and Development; Vol. 11 No. 12; e478111234956
Research, Society and Development; Vol. 11 Núm. 12; e478111234956
Research, Society and Development; v. 11 n. 12; e478111234956
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 11 Núm. 12; e478111234956
Research, Society and Development; v. 11 n. 12; e478111234956
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Dimension stones have been used in many different environments, like airports, shopping malls, commercial buildings and houses, due to their beauty and quality. However, the choice of the ideal material for application in a given environment is a cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a8ead4082630cd018eb4579ac31e7d8
https://rsdjournal.org/index.php/rsd/article/view/34956
https://rsdjournal.org/index.php/rsd/article/view/34956
Publikováno v:
Research, Society and Development; Vol. 11 No. 10; e89111032603
Research, Society and Development; Vol. 11 Núm. 10; e89111032603
Research, Society and Development; v. 11 n. 10; e89111032603
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 11 Núm. 10; e89111032603
Research, Society and Development; v. 11 n. 10; e89111032603
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
O objetivo desse trabalho é propor um modelo de predição da probabilidade de queda de blocos em taludes rochosos utilizando o método K-Nearest Neighbors (KNN). Foi utilizado um banco de dados composto por 220 taludes rochosos, cujas variáveis es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::458d5c0333735811d33943c72bbe452b
https://rsdjournal.org/index.php/rsd/article/view/32603
https://rsdjournal.org/index.php/rsd/article/view/32603
A Methodology for the Definition of Geotechnical Mine Sectors Based on Multivariate Cluster Analysis
Publikováno v:
Geotechnical and Geological Engineering. 39:4405-4426
This paper offers a new method for the definition of geotechnical sectors in open pit mines based on multivariate cluster analysis. A geological-geotechnical data set of a manganese open pit mine was used to demonstrate the methodology. The data set
Autor:
Antonio Fernando Gorgulho Bruzzi, André Monteiro Klen, Pedro Alameda-Hernández, Tiago Martins Pereira, Milene Sabino Lana
Publikováno v:
Geotechnical and Geological Engineering. 39:2399-2407
Rock masses are presenting an enduring challenge since the first authors began trying to model these natural structures. This modelling needs a parametrisation and a latter value assignment for those parameter value series, which show high variabilit
Publikováno v:
Geotechnical and Geological Engineering. 39:2409-2430
This study aims to improve the quality and accuracy of RMR classification system for rock masses in open pit mines. A database of open pit mines comprising basic parameters for obtaining the RMR was used. Techniques applied in this research were mult