Analysis of the brazilian federal bridge inventory
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista IBRACON de Estruturas e Materiais |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952019000100001 |
Resumo: | Abstract Bridge Management aims to provide an appropriate support to decision-making for maintenance, rehabilitation and repair strategies under constraint of limited budgets. In this regard, the Federal Brazilian Department of Transportation (DNIT) has developed the SGO - a Brazilian Bridge Management System (B-BMS) - and promoted the most comprehensive road bridge inventory under its direct administration. To improve the management of these bridge assets, the DNIT is working to develop a statistical model to predict the future condition of bridge: the most efficient and effective tool in a BMS to planning when the maintenance actions will be required. The current paper reports on findings of inventory, predominantly composed of reinforced concrete bridges, focusing on potential deterioration agents reported and checking their influence on deterioration conditions. Based on national database, the paper proposes a methodology to forecast Brazilian bridges deterioration rates. An example of application is demonstrated and satisfactory prediction accuracy obtained, even for few inspection cycles and under restricted database information. |
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Analysis of the brazilian federal bridge inventorybridge management systemsbridge inventorybridge deterioration modelsMarkov chainsAbstract Bridge Management aims to provide an appropriate support to decision-making for maintenance, rehabilitation and repair strategies under constraint of limited budgets. In this regard, the Federal Brazilian Department of Transportation (DNIT) has developed the SGO - a Brazilian Bridge Management System (B-BMS) - and promoted the most comprehensive road bridge inventory under its direct administration. To improve the management of these bridge assets, the DNIT is working to develop a statistical model to predict the future condition of bridge: the most efficient and effective tool in a BMS to planning when the maintenance actions will be required. The current paper reports on findings of inventory, predominantly composed of reinforced concrete bridges, focusing on potential deterioration agents reported and checking their influence on deterioration conditions. Based on national database, the paper proposes a methodology to forecast Brazilian bridges deterioration rates. An example of application is demonstrated and satisfactory prediction accuracy obtained, even for few inspection cycles and under restricted database information.IBRACON - Instituto Brasileiro do Concreto2019-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952019000100001Revista IBRACON de Estruturas e Materiais v.12 n.1 2019reponame:Revista IBRACON de Estruturas e Materiaisinstname:Instituto Brasileiro do Concreto (IBRACON)instacron:IBRACON10.1590/s1983-41952019000100002info:eu-repo/semantics/openAccessOLIVEIRA,C. B. L.GRECO,M.BITTENCOURT,T. N.eng2019-03-18T00:00:00Zoai:scielo:S1983-41952019000100001Revistahttp://www.revistas.ibracon.org.br/index.php/riemhttps://old.scielo.br/oai/scielo-oai.phpeditores.riem@gmail.com||arlene@ibracon.org.br1983-41951983-4195opendoar:2019-03-18T00:00Revista IBRACON de Estruturas e Materiais - Instituto Brasileiro do Concreto (IBRACON)false |
dc.title.none.fl_str_mv |
Analysis of the brazilian federal bridge inventory |
title |
Analysis of the brazilian federal bridge inventory |
spellingShingle |
Analysis of the brazilian federal bridge inventory OLIVEIRA,C. B. L. bridge management systems bridge inventory bridge deterioration models Markov chains |
title_short |
Analysis of the brazilian federal bridge inventory |
title_full |
Analysis of the brazilian federal bridge inventory |
title_fullStr |
Analysis of the brazilian federal bridge inventory |
title_full_unstemmed |
Analysis of the brazilian federal bridge inventory |
title_sort |
Analysis of the brazilian federal bridge inventory |
author |
OLIVEIRA,C. B. L. |
author_facet |
OLIVEIRA,C. B. L. GRECO,M. BITTENCOURT,T. N. |
author_role |
author |
author2 |
GRECO,M. BITTENCOURT,T. N. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
OLIVEIRA,C. B. L. GRECO,M. BITTENCOURT,T. N. |
dc.subject.por.fl_str_mv |
bridge management systems bridge inventory bridge deterioration models Markov chains |
topic |
bridge management systems bridge inventory bridge deterioration models Markov chains |
description |
Abstract Bridge Management aims to provide an appropriate support to decision-making for maintenance, rehabilitation and repair strategies under constraint of limited budgets. In this regard, the Federal Brazilian Department of Transportation (DNIT) has developed the SGO - a Brazilian Bridge Management System (B-BMS) - and promoted the most comprehensive road bridge inventory under its direct administration. To improve the management of these bridge assets, the DNIT is working to develop a statistical model to predict the future condition of bridge: the most efficient and effective tool in a BMS to planning when the maintenance actions will be required. The current paper reports on findings of inventory, predominantly composed of reinforced concrete bridges, focusing on potential deterioration agents reported and checking their influence on deterioration conditions. Based on national database, the paper proposes a methodology to forecast Brazilian bridges deterioration rates. An example of application is demonstrated and satisfactory prediction accuracy obtained, even for few inspection cycles and under restricted database information. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952019000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952019000100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1983-41952019000100002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
IBRACON - Instituto Brasileiro do Concreto |
publisher.none.fl_str_mv |
IBRACON - Instituto Brasileiro do Concreto |
dc.source.none.fl_str_mv |
Revista IBRACON de Estruturas e Materiais v.12 n.1 2019 reponame:Revista IBRACON de Estruturas e Materiais instname:Instituto Brasileiro do Concreto (IBRACON) instacron:IBRACON |
instname_str |
Instituto Brasileiro do Concreto (IBRACON) |
instacron_str |
IBRACON |
institution |
IBRACON |
reponame_str |
Revista IBRACON de Estruturas e Materiais |
collection |
Revista IBRACON de Estruturas e Materiais |
repository.name.fl_str_mv |
Revista IBRACON de Estruturas e Materiais - Instituto Brasileiro do Concreto (IBRACON) |
repository.mail.fl_str_mv |
editores.riem@gmail.com||arlene@ibracon.org.br |
_version_ |
1754193605601263616 |