Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/13912
Title: A methodology for the definition of geotechnical mine sectors based on multivariate cluster analysis.
Authors: Nazareth, Ana Flávia Delbem Vidigal
Lana, Milene Sabino
Keywords: Multivariate statistics
Cluster analysis
Geotechnical mine sectors
Open pit mine
Issue Date: 2021
Citation: NAZARETH, A. F. D. V.; LANA, M. S. A methodology for the definition of geotechnical mine sectors based on multivariate cluster analysis. Geotechnical and Geological Engineering, v. 4, p. 1-22, mar. 2021. Disponível em: <https://link.springer.com/article/10.1007/s10706-021-01771-6>. Acesso em: 12 set. 2021.
Abstract: This paper offers a new method for the definition of geotechnical sectors in open pit mines based on multivariate cluster analysis. A geologicalgeotechnical data set of a manganese open pit mine was used to demonstrate the methodology. The data set consists of a survey of geological and geotechnical parameters of the rock mass, measured directly in several points of the mine, structured initially in twenty-eight variables. After the preprocessing of the data set, the clustering technique was applied using the k-Prototype algorithm. The squared Euclidean distance was used to quantify the proximity between numerical variables, and the Jaccard’s coefficient of similarity was used to quantify the proximity between the nominal variables. The different cluster results obtained were validated by the multivariate analysis of variance. The identification of cluster structures was achieved by plotting them on the mine map for spatial visualization and definition of geotechnical sectors. These sectors are spatially contiguous and relatively homogeneous regarding their geological–geotechnical properties, indicated by a high density of points of the same group. It was possible to observe a great adherence of the proposed sectors to the mine geology, demonstrating the practical representativeness of the clustering results and the proposed sectors.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/13912
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007/s10706-021-01771-6
metadata.dc.identifier.doi: https://doi.org/10.1007/s10706-021-01771-6
ISSN: 1573-1529
Appears in Collections:DEMIN - Artigos publicados em periódicos

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