Eficácia da gestão de pontes rodoviárias à luz das práticas de inspeção brasileiras

Authors

  • Caroline Buratto de Lima e Oliveira Departamento Nacional de Infraestrutura em Transportes - DNIT Universidade Federal de Minas Gerais - UFMG
  • Marcelo Greco Universidade Federal de Minas Gerais - UFMG
  • Camila Esteves Romeiro Universidade Federal de Minas Gerais - UFMG
  • Juliane Venturelli Silva Lima Universidade Federal de Minas Gerais - UFMG
  • Rafael Arêdes Couto Universidade Federal de Minas Gerais - UFMG

DOI:

https://doi.org/10.14295/transportes.v27i4.1840

Keywords:

Bridge management, Bridge deterioration rates, Markov chains.

Abstract

The management of the asset components of the transportation system infrastructure is crucial to ensure active operation, suitable level of safety and security within budgetary constraints. For this purpose, the full knowledge of the characteristics of road network elements is required, including its history, both current and predicted future conditions through deterioration models – the fundamental module of infrastructure management systems. This article describes the main prediction practices of management of the Brazilian road bridges and evaluates the effectiveness of the existing inspection methodologies to forecast bridge deterioration rates using Markov chain method. Deterioration rates were estimated by using the available data collected in bridges inspections carried out in São Paulo State’s roads, based on the most common practices. The presented results required improvements in bridge inspection methods in order to enable improvements to advanced management approaches and increase the quality of the Brazilian entire road network.

Downloads

Download data is not yet available.

Author Biographies

Caroline Buratto de Lima e Oliveira, Departamento Nacional de Infraestrutura em Transportes - DNIT Universidade Federal de Minas Gerais - UFMG

Analista de Infraestrutura em Transportes no DNIT

Doutoranda em Engenharia de Estruturas na Universidade Federal de Minas Gerais - UFMG

Marcelo Greco, Universidade Federal de Minas Gerais - UFMG

Professor do Departamento de Engenharia de Estruturas da Universidade Federal de Minas Gerais - UFMG

Camila Esteves Romeiro, Universidade Federal de Minas Gerais - UFMG

Mestranda em Geografia da Universidade Federal de Minas Gerais

Juliane Venturelli Silva Lima, Universidade Federal de Minas Gerais - UFMG

Doutoranda em Estatística da Universidade Federal de Minas Gerais

Rafael Arêdes Couto, Universidade Federal de Minas Gerais - UFMG

Mestre em Estruturas pela Universidade Federal de Minas Gerais

References

AASHTO (2013) The Manual for Bridge Evaluation. Washington, USA. American Association of State Highway and Transportation Officials. ISBN: 978-1-56051-557-9.

ABNT. NBR 9542/2016 Vistoria de Pontes e Viadutos de Concreto. Associação Brasileira de Normas Técnicas. Rio de Janeiro, Brasil.

Agrawal, A. K. e A. Kawaguchi (2009) Bridge element deterioration rates: final report, project C-01-51. New York State Department of Transportation, New York, USA.

Almeida, J. M. M. R. M. O. (2013) Sistema de gestão de pontes com base em custos de ciclo de vida. Tese (doutorado). Faculdade de Engenharia (FEUP), Universidade do Porto, Porto, Portugal.

ARTESP (2007) Resolução ETC-0021. Agência de Transporte do Estado de São Paulo, São Paulo, Brasil.

Bolukbasil, M.; J. Mohammadi e D. Arditi (2004) Estimating the Future Condition of Highway Bridge Components Using National Bridge Inventory Data. Practice periodical on structural design and construction. American Society of Civil Engineers, v.1, p. 16-25. DOI:10.1061/(ASCE)1084-0680(2004)9:1(16).

Campos Neto, C. A. S. (2018) Reflexões sobre investimentos em infraestrutura de transporte no Brasil. Instituto de Pesquisas econômicas aplicadas, IPEA. Disponível em: http://repositorio.ipea.gov.br/bitstream/11058/7317/1/Radar_n47_reflex%C3%B5es.pdf (acesso em 24/12/2018).

DNIT 010/2004 – PRO Inspeções em pontes e viadutos de concreto armado e protendido – Procedimento. Departamento Nacional de Infraestrutura em Transportes /Instituto de Pesquisas Rodoviárias - IPR, Rio de Janeiro. Disponível em: http://ipr.dnit.gov.br/normas-e-manuais/normas/procedimento-pro/dnit010_2004_pro.pdf (acesso em 24/12/2018).

Golabi, K. e R. Shephard (1997) Pontis: A system for maintenance optimization and improvement of US bridge networks. Journal Interfaces, v.1, p.71- 88. DOI:10.1287/inte.27.1.71

Hurt, M. e S. Schrock (2016) Highway Bridge Maintenance, Planning and Scheduling. Elsevier Inc, Kidlington, Oxford, UK. ISBN: 978-0-12-802069-2.

Jiang, Y. (2010) Application and Comparison of Regression and Markov Chain Methods in Bridge Condition Prediction and System Benefit Optimization. Journal of the Transportation Research Forum, v. 49(2), p. 91-110.

Kong, J.S.; J. H. Kim; B. T. Adey e L. Klatter (2010) Trends in development of bridge management systems. Bridge Maintenance, Safety, Management and Life-Cycle Optimization, Londres. ISBN: 9780415877862.

Lima, J. P. (2007) Modelo de decisão para priorização de vias candidatas às atividades de manutenção e reabilitação de pavimentos. Tese (doutorado). Escola de Engenharia de São Carlos, Universidade de São Paulo /USP, São Carlos, São Paulo, Brasil.

Mendes, P. T. C. (2003) Contribuições para um modelo de gestão de pontes de concreto aplicado à rede de rodovias brasileiras. Tese (doutorado), Universidade de São Paulo, São Paulo, Brasil.

Morcous, G. (2000) Case-based reasoning for modeling Bridge Deterioration. Tese (doutorado). Building, Civil and Environmental Engineering, Concordia University, Quebec, Canada.

Morcous, G.; Z. Lounis e M. S. Mirza (2002) Life-cycle assessment of highway bridges. Institute for Research in construction IRC, National Research Council Canada.

Morcous, G. (2006) Performance prediction of Bridge Deck Systems Using Markov Chains. Journal of Performance of Constructed Facilities, v. 20 (2), p. 146-155. DOI:10.1061/(ASCE)0887-3828(2006)20:2(146).

Morcous, G e A. Hatami (2011) Developing Deterioration Models for Nebraska Bridges. University of Nebraska, USA. Disponível em: https://digitalcommons.unl.edu/matcreports/31/ (acesso em 24/12/2018).

Muñoz, Y. F.; A. Paz, H. Fuente-Mella; J. V. Fariña e G. M. Sales (2016) Estimating Bridge Deterioration by Using Small Data Sets. Universidade de Nevada, Estados Unidos. DOI: 10.1999/1307-6892/43375.

Oliveira, C. B. L e J. M. C. Fonseca (2013) Análise da eficácia do reforço de pontes rodoviárias em concreto armado. 56º Congresso do IBRACON, Natal, Brasil.

Norris, J. R. (1998) Markov Chains. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University. ISBN: 978-0521633963.

Setunge, S. e M. S. Hasan (2011) Concrete Bridge Deterioration Prediction using Markov Chain Approach. RMIT University, Melbourne, Austrália. Disponível em: https://pdfs. semanticscholar.org/46f0/493a796c716768626295bddb0ed1200c1743.pdf (acesso em 24/12/2018)

Varela, M. L. R. (2007) Uma contribuição para o escalonamento da produção baseado em métodos globalmente distribuídos. Tese (doutorado). Universidade do Minho, Braga, Portugal.

Wang, X e G. Foliente (2008). Identifying bridge structural condition development trends via categorial inspection condition rating with case studies. Structure and Infrasctruture Engineering v. 4, p. 449-466. DOI:10.1080/15732470600924656.

Downloads

Published

2019-12-28

How to Cite

Oliveira, C. B. de L. e, Greco, M., Romeiro, C. E., Lima, J. V. S., & Couto, R. A. (2019). Eficácia da gestão de pontes rodoviárias à luz das práticas de inspeção brasileiras. TRANSPORTES, 27(4), 172–186. https://doi.org/10.14295/transportes.v27i4.1840

Issue

Vol. 27 No. 4 (2019)

Section

Artigos

License

Authors who submit papers for publication by TRANSPORTES agree to the following terms:

  1. Authors retain copyright and grant TRANSPORTES the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  2. Authors may enter into separate, additional contractual arrangements for the non-exclusive distribution of this journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in TRANSPORTES.

  3. Authors are allowed and encouraged to post their work online (e.g., in institutional repositories or on their website) after publication of the article. Authors are encouraged to use links to TRANSPORTES (e.g., DOIs or direct links) when posting the article online, as TRANSPORTES is freely available to all readers.

  4. Authors have secured all necessary clearances and written permissions to published the work and grant copyright under the terms of this agreement. Furthermore, the authors assume full responsibility for any copyright infringements related to the article, exonerating ANPET and TRANSPORTES of any responsibility regarding copyright infringement.

  5. Authors assume full responsibility for the contents of the article submitted for review, including all necessary clearances for divulgation of data and results, exonerating ANPET and TRANSPORTES of any responsibility regarding to this aspect.