Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach

Abstract This article presents a study of the impacts caused by Fundão dam failure in buildings from Gesteira district, Barra Longa city, Brazil. The analyzed dataset was built using technical reports from surveys carried out in 152 buildings. Principal component analysis was capable of explain the...

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Bibliographic Details
Published in:Anais da Academia Brasileira de Ciências 2023-01, Vol.95 (suppl 1), p.e20220458-e20220458
Main Authors: SILVA JUNIOR, LADIR ANTONIO DA, SANTOS, TATIANA B. DOS
Format: Article
Language:English
Subjects:
Heavy vehicle traffic
impacts
MULTIDISCIPLINARY SCIENCES
pathologies
tailing mud
unsupervised machine learning
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Summary:Abstract This article presents a study of the impacts caused by Fundão dam failure in buildings from Gesteira district, Barra Longa city, Brazil. The analyzed dataset was built using technical reports from surveys carried out in 152 buildings. Principal component analysis was capable of explain the interdependence of data variable and allowed conditions of understand the consequences and evidenced pathologies. Heavy vehicle traffic caused more damage (57% of buildings) to the studied buildings than the contact with the tailing mud (43% of buildings).
ISSN:0001-3765
1678-2690
1678-2690
DOI:10.1590/0001-3765202320220458