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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| Format: | Article |
| Language: | English |
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Academia Brasileira de Ciências
2023-08-01
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| Series: | Anais da Academia Brasileira de Ciências |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000201706&lng=en&tlng=en |
| _version_ | 1797733662881480704 |
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| author | LADIR ANTONIO DA SILVA JUNIOR TATIANA B. DOS SANTOS |
| author_facet | LADIR ANTONIO DA SILVA JUNIOR TATIANA B. DOS SANTOS |
| author_sort | LADIR ANTONIO DA SILVA JUNIOR |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-03-12T12:31:16Z |
| format | Article |
| id | doaj.art-0b40949e02bc493983ea237521b993d5 |
| institution | Directory Open Access Journal |
| issn | 1678-2690 |
| language | English |
| last_indexed | 2024-03-12T12:31:16Z |
| publishDate | 2023-08-01 |
| publisher | Academia Brasileira de Ciências |
| record_format | Article |
| series | Anais da Academia Brasileira de Ciências |
| spelling | doaj.art-0b40949e02bc493983ea237521b993d52023-08-29T07:48:31ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902023-08-0195suppl 110.1590/0001-3765202320220458Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproachLADIR ANTONIO DA SILVA JUNIORhttps://orcid.org/0000-0002-0193-7060TATIANA B. DOS SANTOShttps://orcid.org/0000-0001-5484-6675Abstract 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).http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000201706&lng=en&tlng=enHeavy vehicle trafficimpactspathologiestailing mudunsupervised machine learning |
| spellingShingle | LADIR ANTONIO DA SILVA JUNIOR TATIANA B. DOS SANTOS Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach Anais da Academia Brasileira de Ciências Heavy vehicle traffic impacts pathologies tailing mud unsupervised machine learning |
| title | Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach |
| title_full | Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach |
| title_fullStr | Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach |
| title_full_unstemmed | Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach |
| title_short | Building pathologies caused by failure of Fundão Tailing Dam: A principal component analysis aproach |
| title_sort | building pathologies caused by failure of fundao tailing dam a principal component analysis aproach |
| topic | Heavy vehicle traffic impacts pathologies tailing mud unsupervised machine learning |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000201706&lng=en&tlng=en |
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