Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional Manancial UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/15966 |
Resumo: | Due to poor conditions in the asphaltic pavements of the municipality of Santa MariaRS and discontent of population with this situation, the municipal prefecture has shown interest in developing and, in the future, to implement a Urban Pavement Management Systems (UPMS). In this context, the present work sought to elaborate a proposal for structuring a database and prioritization criteria for the maintenance of the Santa Maria-RS urban road system, aiming at the implementation of an UPMS. For this, some steps were taken: definition and characterization of the study area (11 central urban roads); field surveys (traffic counting, survey of pavement defects by means of Continuous Visual Survey – LVC, survey of pavement irregularity using laser inertial profilometer, survey of pavement structural parameters – maximum deflection and radius of curvature –, using Benkelman beam); structuring of the database; elaboration of the traffic diagnosis and the condition of the pavements; proposing a catalog of maintenance solutions and indicating solutions; solutions; standardization of the structured database; proposition of the mathematical model to calculate the Priority Index (PI); creation of prioritization and application scenarios in the standard database; calculation and ranking of IP in each scenario; and, finally, ranking of the sub-brands in each scenario. From the point of view of the diagnosis of the area of study, the lowest NUSACE was registered in Av. Presidente Vargas, towards downtown neighborhood and the largest, at Av. Hélvio Basso, towards downtown. The lowest unidirectional VDM was recorded at Av. João Luiz Pozzobon, towards the center-neighborhood and the largest, at Av. Nossa Senhora Medianeira, towards the center-neighborhood. The ATR in 100% of the floors of the study area was below 10 mm. The best condition of the pavement surface was recorded at Av. Liberdade, neighborhood-center, double lane. The worst condition of the pavement surface was recorded at Av. Governador Walter Jobim, in the neighborhood-center direction. The RC in 77 % of the floors of the study area was greater than 100 meters. The best condition of the pavement structure was registered in Av. Liberdade, direction neighborhood-center, double track. The worst condition of the pavement structure was recorded at Av. Ângelo Bolson, towards downtown. The total value of the solutions was R$ 18.363.546,54. The most expensive route was Av. Governador Walter Jobim and the least expensive, Av. Hélvio Basso. The mathematical model for PI calculation proposed, since it is a simplified and easily understood model, if it is effectively put into practice, can help in the management, at the network level, of the Santa Maria-RS pavements, allowing not only more rational decision making by managers, as well as the optimization of public resources. The best PI predictor was IGGE, followed by D0 corrected, ATR and IRI. |
id |
UFSM-20_edd4713d04116911974426a5cbc2fe17 |
---|---|
oai_identifier_str |
oai:repositorio.ufsm.br:1/15966 |
network_acronym_str |
UFSM-20 |
network_name_str |
Repositório Institucional Manancial UFSM |
repository_id_str |
3913 |
spelling |
2019-03-26T15:53:58Z2019-03-26T15:53:58Z2018-11-13http://repositorio.ufsm.br/handle/1/15966Due to poor conditions in the asphaltic pavements of the municipality of Santa MariaRS and discontent of population with this situation, the municipal prefecture has shown interest in developing and, in the future, to implement a Urban Pavement Management Systems (UPMS). In this context, the present work sought to elaborate a proposal for structuring a database and prioritization criteria for the maintenance of the Santa Maria-RS urban road system, aiming at the implementation of an UPMS. For this, some steps were taken: definition and characterization of the study area (11 central urban roads); field surveys (traffic counting, survey of pavement defects by means of Continuous Visual Survey – LVC, survey of pavement irregularity using laser inertial profilometer, survey of pavement structural parameters – maximum deflection and radius of curvature –, using Benkelman beam); structuring of the database; elaboration of the traffic diagnosis and the condition of the pavements; proposing a catalog of maintenance solutions and indicating solutions; solutions; standardization of the structured database; proposition of the mathematical model to calculate the Priority Index (PI); creation of prioritization and application scenarios in the standard database; calculation and ranking of IP in each scenario; and, finally, ranking of the sub-brands in each scenario. From the point of view of the diagnosis of the area of study, the lowest NUSACE was registered in Av. Presidente Vargas, towards downtown neighborhood and the largest, at Av. Hélvio Basso, towards downtown. The lowest unidirectional VDM was recorded at Av. João Luiz Pozzobon, towards the center-neighborhood and the largest, at Av. Nossa Senhora Medianeira, towards the center-neighborhood. The ATR in 100% of the floors of the study area was below 10 mm. The best condition of the pavement surface was recorded at Av. Liberdade, neighborhood-center, double lane. The worst condition of the pavement surface was recorded at Av. Governador Walter Jobim, in the neighborhood-center direction. The RC in 77 % of the floors of the study area was greater than 100 meters. The best condition of the pavement structure was registered in Av. Liberdade, direction neighborhood-center, double track. The worst condition of the pavement structure was recorded at Av. Ângelo Bolson, towards downtown. The total value of the solutions was R$ 18.363.546,54. The most expensive route was Av. Governador Walter Jobim and the least expensive, Av. Hélvio Basso. The mathematical model for PI calculation proposed, since it is a simplified and easily understood model, if it is effectively put into practice, can help in the management, at the network level, of the Santa Maria-RS pavements, allowing not only more rational decision making by managers, as well as the optimization of public resources. The best PI predictor was IGGE, followed by D0 corrected, ATR and IRI.Devido às más condições em que se encontram os pavimentos asfálticos do município de Santa Maria-RS e ao descontentamento de boa da parte da população com essa situação, a prefeitura desse município tem demonstrado interesse em desenvolver e, futuramente, implantar um Sistema de Gerência de Pavimentos Urbanos (SGPU). Nesse contexto, o presente trabalho buscou elaborar uma proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano de Santa Maria-RS, visando à implantação de um SGPU. Para isso, foram realizadas algumas etapas: definição e caracterização da área de estudo (11 vias centrais); execução de levantamentos de campo (contagens de tráfego; levantamento de defeitos do pavimento por meio do Levantamento Visual Contínuo – LVC; levantamento de irregularidade do pavimento utilizando perfilômetro inercial laser; levantamento de parâmetros estruturais do pavimento – deflexão máxima e raio de curvatura –, utilizando viga Benkelman); estruturação do banco de dados; elaboração do diagnóstico do tráfego e da situação dos pavimentos; proposição de um catálogo de soluções de manutenção e indicação das soluções; orçamento das soluções; normalização do banco de dados estruturado; proposição do modelo matemático para cálculo do Índice de Prioridade (IP); criação de cenários de priorização e aplicação no banco de dados normalizado; cálculo e ranqueamento do IP em cada cenário; e, por fim, ranqueamento dos subtrechos em cada cenário. Do ponto de vista do diagnóstico da área de estudo, o menor NUSACE foi registrado na Av. Presidente Vargas, sentido centro bairro e o maior, na Av. Hélvio Basso, sentido centro-bairro. O menor VDM unidirecional foi registrado na Av. João Luiz Pozzobon, sentido bairro-centro e o maior, na Av. Nossa Senhora Medianeira, sentido centro-bairro. O ATR em 100 % dos pavimentos da área de estudo ficou abaixo de 10 mm. A melhor condição da superfície do pavimento foi registrada na Av. Liberdade, bairro-centro, pista dupla. A pior condição da superfície do pavimento foi registrada na Av. Governador Walter Jobim, sentido bairro-centro. O RC em 77 % dos pavimentos da área de estudo foi maior que 100 metros. A melhor condição da estrutura do pavimento foi registrada na Av. Liberdade, sentido bairro-centro, pista dupla. A pior condição da estrutura do pavimento foi registrada na Av. Ângelo Bolson, sentido centro-bairro. O valor total das soluções foi de R$ 18.363.546,54. A via mais onerosa foi a Av. Governador Walter Jobim e a menos onerosa, a Av. Hélvio Basso. O modelo matemático para cálculo de IP proposto, por ser um modelo simplificado e de fácil compreensão, se for efetivamente colocado em prática, pode auxiliar na gerência, em nível de rede, dos pavimentos de Santa Maria-RS, permitindo não apenas a tomada de decisões mais racionais, por parte dos gestores, como também a otimização dos recursos públicos. O melhor preditor de IP foi o IGGE, seguido por D0 corrigida, ATR e IRI.porUniversidade Federal de Santa MariaCentro de TecnologiaPrograma de Pós-Graduação em Engenharia CivilUFSMBrasilEngenharia CivilAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessSanta Maria-RSManutençãoPavimentosCritériosPriorizaçãoMaintenancePavementsCriteriaPrioritizationCNPQ::ENGENHARIAS::ENGENHARIA CIVILProposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RSProposal for structuring a database and prioritization criteria for maintenance of urban road system – UPMS: case study of Santa Maria - RSinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisSpecht, Luciano Pivotohttp://lattes.cnpq.br/8038412953408618Pereira, Deividi da Silvahttp://lattes.cnpq.br/9639329922610388Johnston, Marlova Grazziotinhttp://lattes.cnpq.br/5600023333881718Cervo, Tatiana Cureauhttp://lattes.cnpq.br/8942097635550980http://lattes.cnpq.br/1128657083486430Martins, Márcio da Fonseca3001000000036008ec440eb-7c63-4e2e-8cd0-a61f73b7ab5d576d752f-1a49-4baf-9d14-b7c7bfbeeca2d89911a5-a9ed-4edb-92e1-a6c0592070fb93662b14-00d5-4cfb-b4b2-c6660c1f291ec8b4f026-47ec-4c03-a619-97ddfeefd6bdreponame:Repositório Institucional Manancial UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGEC_2018_MARTINS_MARCIO.pdfDIS_PPGEC_2018_MARTINS_MARCIO.pdfDissertação de Mestradoapplication/pdf5473133http://repositorio.ufsm.br/bitstream/1/15966/1/DIS_PPGEC_2018_MARTINS_MARCIO.pdf0dfca64ace06a96b181152381affd27aMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/15966/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/15966/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD53TEXTDIS_PPGEC_2018_MARTINS_MARCIO.pdf.txtDIS_PPGEC_2018_MARTINS_MARCIO.pdf.txtExtracted texttext/plain486397http://repositorio.ufsm.br/bitstream/1/15966/4/DIS_PPGEC_2018_MARTINS_MARCIO.pdf.txt4e638b61c32ad231c5aa2e519b1ed455MD54THUMBNAILDIS_PPGEC_2018_MARTINS_MARCIO.pdf.jpgDIS_PPGEC_2018_MARTINS_MARCIO.pdf.jpgIM Thumbnailimage/jpeg4641http://repositorio.ufsm.br/bitstream/1/15966/5/DIS_PPGEC_2018_MARTINS_MARCIO.pdf.jpgef62033e599974acd06701f384380cd9MD551/159662022-05-09 08:28:12.076oai:repositorio.ufsm.br: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ório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestouvidoria@ufsm.bropendoar:39132022-05-09T11:28:12Repositório Institucional Manancial UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.por.fl_str_mv |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
dc.title.alternative.eng.fl_str_mv |
Proposal for structuring a database and prioritization criteria for maintenance of urban road system – UPMS: case study of Santa Maria - RS |
title |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
spellingShingle |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS Martins, Márcio da Fonseca Santa Maria-RS Manutenção Pavimentos Critérios Priorização Maintenance Pavements Criteria Prioritization CNPQ::ENGENHARIAS::ENGENHARIA CIVIL |
title_short |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
title_full |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
title_fullStr |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
title_full_unstemmed |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
title_sort |
Proposta de estruturação de um banco de dados e de critérios de priorização para manutenção do sistema viário urbano – SGPU: estudo de caso de Santa Maria - RS |
author |
Martins, Márcio da Fonseca |
author_facet |
Martins, Márcio da Fonseca |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Specht, Luciano Pivoto |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/8038412953408618 |
dc.contributor.advisor-co1.fl_str_mv |
Pereira, Deividi da Silva |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/9639329922610388 |
dc.contributor.referee1.fl_str_mv |
Johnston, Marlova Grazziotin |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/5600023333881718 |
dc.contributor.referee2.fl_str_mv |
Cervo, Tatiana Cureau |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/8942097635550980 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1128657083486430 |
dc.contributor.author.fl_str_mv |
Martins, Márcio da Fonseca |
contributor_str_mv |
Specht, Luciano Pivoto Pereira, Deividi da Silva Johnston, Marlova Grazziotin Cervo, Tatiana Cureau |
dc.subject.por.fl_str_mv |
Santa Maria-RS Manutenção Pavimentos Critérios Priorização |
topic |
Santa Maria-RS Manutenção Pavimentos Critérios Priorização Maintenance Pavements Criteria Prioritization CNPQ::ENGENHARIAS::ENGENHARIA CIVIL |
dc.subject.eng.fl_str_mv |
Maintenance Pavements Criteria Prioritization |
dc.subject.cnpq.fl_str_mv |
CNPQ::ENGENHARIAS::ENGENHARIA CIVIL |
description |
Due to poor conditions in the asphaltic pavements of the municipality of Santa MariaRS and discontent of population with this situation, the municipal prefecture has shown interest in developing and, in the future, to implement a Urban Pavement Management Systems (UPMS). In this context, the present work sought to elaborate a proposal for structuring a database and prioritization criteria for the maintenance of the Santa Maria-RS urban road system, aiming at the implementation of an UPMS. For this, some steps were taken: definition and characterization of the study area (11 central urban roads); field surveys (traffic counting, survey of pavement defects by means of Continuous Visual Survey – LVC, survey of pavement irregularity using laser inertial profilometer, survey of pavement structural parameters – maximum deflection and radius of curvature –, using Benkelman beam); structuring of the database; elaboration of the traffic diagnosis and the condition of the pavements; proposing a catalog of maintenance solutions and indicating solutions; solutions; standardization of the structured database; proposition of the mathematical model to calculate the Priority Index (PI); creation of prioritization and application scenarios in the standard database; calculation and ranking of IP in each scenario; and, finally, ranking of the sub-brands in each scenario. From the point of view of the diagnosis of the area of study, the lowest NUSACE was registered in Av. Presidente Vargas, towards downtown neighborhood and the largest, at Av. Hélvio Basso, towards downtown. The lowest unidirectional VDM was recorded at Av. João Luiz Pozzobon, towards the center-neighborhood and the largest, at Av. Nossa Senhora Medianeira, towards the center-neighborhood. The ATR in 100% of the floors of the study area was below 10 mm. The best condition of the pavement surface was recorded at Av. Liberdade, neighborhood-center, double lane. The worst condition of the pavement surface was recorded at Av. Governador Walter Jobim, in the neighborhood-center direction. The RC in 77 % of the floors of the study area was greater than 100 meters. The best condition of the pavement structure was registered in Av. Liberdade, direction neighborhood-center, double track. The worst condition of the pavement structure was recorded at Av. Ângelo Bolson, towards downtown. The total value of the solutions was R$ 18.363.546,54. The most expensive route was Av. Governador Walter Jobim and the least expensive, Av. Hélvio Basso. The mathematical model for PI calculation proposed, since it is a simplified and easily understood model, if it is effectively put into practice, can help in the management, at the network level, of the Santa Maria-RS pavements, allowing not only more rational decision making by managers, as well as the optimization of public resources. The best PI predictor was IGGE, followed by D0 corrected, ATR and IRI. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018-11-13 |
dc.date.accessioned.fl_str_mv |
2019-03-26T15:53:58Z |
dc.date.available.fl_str_mv |
2019-03-26T15:53:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/15966 |
url |
http://repositorio.ufsm.br/handle/1/15966 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
300100000003 |
dc.relation.confidence.fl_str_mv |
600 |
dc.relation.authority.fl_str_mv |
8ec440eb-7c63-4e2e-8cd0-a61f73b7ab5d 576d752f-1a49-4baf-9d14-b7c7bfbeeca2 d89911a5-a9ed-4edb-92e1-a6c0592070fb 93662b14-00d5-4cfb-b4b2-c6660c1f291e c8b4f026-47ec-4c03-a619-97ddfeefd6bd |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Tecnologia |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Engenharia Civil |
dc.publisher.initials.fl_str_mv |
UFSM |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Engenharia Civil |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Tecnologia |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional Manancial UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Repositório Institucional Manancial UFSM |
collection |
Repositório Institucional Manancial UFSM |
bitstream.url.fl_str_mv |
http://repositorio.ufsm.br/bitstream/1/15966/1/DIS_PPGEC_2018_MARTINS_MARCIO.pdf http://repositorio.ufsm.br/bitstream/1/15966/2/license_rdf http://repositorio.ufsm.br/bitstream/1/15966/3/license.txt http://repositorio.ufsm.br/bitstream/1/15966/4/DIS_PPGEC_2018_MARTINS_MARCIO.pdf.txt http://repositorio.ufsm.br/bitstream/1/15966/5/DIS_PPGEC_2018_MARTINS_MARCIO.pdf.jpg |
bitstream.checksum.fl_str_mv |
0dfca64ace06a96b181152381affd27a 4460e5956bc1d1639be9ae6146a50347 2f0571ecee68693bd5cd3f17c1e075df 4e638b61c32ad231c5aa2e519b1ed455 ef62033e599974acd06701f384380cd9 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional Manancial UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
ouvidoria@ufsm.br |
_version_ |
1808854724610359296 |