Computers and Concrete

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A fuzzy expert system for diagnosis assessment of reinforced concrete bridge decks

  • Ramezanianpour, Ali Akbar (Department of Civil and Environment Engineering, Amirkabir University of Technology) ;
  • Shahhosseini, Vahid (Construction Engineering and Management, Amirkabir University of Technology) ;
  • Moodi, Faramarz (Concrete Technology & Durability Research Center, Amirkabir University of Technology)
  • Received : 2009.04.06
  • Accepted : 2009.06.16
  • Published : 2009.08.25
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Abstract

The lack of safety of bridge deck structures causes frequent repair and strengthening of such structures. The repair induces great loss of economy, not only due to direct cost by repair, but also due to stopping the public use of such structures during repair. The major reason for this frequent repair is mainly due to the lack of realistic and accurate assessment system for the bridge decks. The purpose of the present research was to develop a realistic expert system, called Bridge Slab-Expert which can evaluate reasonably the condition as well as the service life of concrete bridge decks, based on the deterioration models that are derived from both the structural and environmental effects. The diagnosis assessment of deck slabs due to structural and environmental effects are developed based on the cracking in concrete, surface distress and structural distress. Fuzzy logic is utilized to handle uncertainties and imprecision involved. Finally, Bridge Slab-Expert is developed for prediction of safety and remaining service life based on the chloride ions penetration and fick's second law. Proposed expert system is based on user-friendly GUI environment. The developed expert system will allow the correct diagnosis of concrete decks, realistic prediction of service life, the determination of confidence level, the description of condition and the proposed action for repair.

Keywords

References

  1. ACI (2003), Manual of Concrete Practice, American Concrete Institute, USA.
  2. Abideen, H.M.Z. and Eldin, A.S. (1999), "Toward an expert system for the evaluation of damage in concrete structures in saudi arabis", Proceedings of an International Conference, Dundee, September, 645-657.
  3. Basheer, P.A.M., Chidiac, S.E. and Long, A.E. (1996), "Predictive models for deterioration of concrete structures", Constr. Build. Mater., 10, 27. https://doi.org/10.1016/0950-0618(95)00092-5
  4. Biondini, F., Bontempi, F., Frangopol, D.M. and Malerba, P.G. (2006), "Probabilistic service life assessment and maintenance planning of concrete structures", J. Struct. Eng-ASCE, 132(5), 810-825. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:5(810)
  5. BSI (1997), Concrete, BS 8110 and BS 5328, British Standard Institution, London.
  6. Deshmukh, P. and Bernhardt, K.L.S. (2000), "Quantifying uncertainty in bridge condition assessment data", Proceedings of the Mid-Continent Transportation Symposium, Iowa, August, 138-141.
  7. Durkin, J. (1994), Expert systems design and development, Macmillan Publishing Company, U.S.A.
  8. European Standard EN 197-1 (2000), Cement - Part 1: Composition, Specifications and Conformity Criteria for Common Cements, CEN, Brussels.
  9. European Standard EN 206-1 (2000), Concrete - Part 1: Specification, Performance, Production and Conformity, CEN, Brussels.
  10. Fazel Zarandi, M.H. and Sobhani, J. (2003), "Application of expert systems in damage assessment of reinforced concrete structure", Amirkabir J. Sci. Technol., 14(56-B), 230-253.
  11. Furuta, H., He, J.H. and Watanabe, E. (1996), "A fuzzy expert system for damage assessment using generic algorithm and neural networks", Microcomput. Civil Eng., 11, 37-54. https://doi.org/10.1111/j.1467-8667.1996.tb00307.x
  12. Kawamura, K. and Miyamoto, A. (2003), "Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system", Comput. Struct., 81, 1931-1940. https://doi.org/10.1016/S0045-7949(03)00213-X
  13. Kushida, M., Miyamoto, A. and Kinoshita, K. (1997), "Development of concrete bridge rating prototype expert system with machine learning", J. Comput. Civil Eng., ASCE, 11(4), 238-47. https://doi.org/10.1061/(ASCE)0887-3801(1997)11:4(238)
  14. Liu, K.F.R., Chiang, W. and Lee, J. (1999), "A fuzzy petri net-based expert system and its application to damage assessment of bridges", IEEE Trans. System Man Cybernetics, 29(3), 350-369. https://doi.org/10.1109/3477.764869
  15. Miyamoto, A. (2002), "A practical bridge management system for existing concrete bridges", Proceedings of the 5th fib conferences, Osaka, 111-120.
  16. Moodi, F. (2001), Development of a knowledge-based system for the repair and maintenance of concrete structures, PhD Thesis, University of Newcastle, UK.
  17. Oh, B.H., Lew, Y. and Choi, Y.C. (2005), "Development of expert system for condition assessment of concrete bridge deck structures based on material and structural evaluation", Proceedings of the 3rd International Conference on Construction Materials, Vancouver.
  18. Papadakis, V.G., Efstathiou, M.P. and Apostolopoulos, C.A. (2007), "Computer-aided approach of parameters influencing concrete service life and field validation", Comput. Concret,, 4(1), 1-18. https://doi.org/10.12989/cac.2007.4.1.001
  19. Raina, V.K. (1994), Concrete bridges: inspection, repair, strengthening, testing and load capacity evaluation, Tata McGraw-Hill Pub. Co., India.
  20. RD Recommendation (1994), "Draft Recommendation for Damage Classification of Concrete Structures", Mater. Struct., 27(6), 362-369. https://doi.org/10.1007/BF02473430
  21. Siler, W. and James, J. (2005), Fuzzy Expert Systems and Fuzzy Reasoning, John Wiley & Sons, Inc., Canada.
  22. USACE (U.S. Army Corps of Engineers) (1992), Repair, Evaluation, maintenance, and Rehabilitation (REMR), Army RD & A Bulletin.
  23. USACE (U.S. Army Corps of Engineers) (1995), Engineering and Design: Evaluation and Repair of Concrete Structures, Engineer Manual 1110-2-2002, Washington, D.C.
  24. Vagiotas, P. (2003), "Modeling expert decisions for highway bridge maintenance", Proceedings of the 7th International Conference on Application of Artificial Intelligence, Egmond., Nederland.
  25. Zhao, Z. and Chen, C. (2001), "Concrete bridge deterioration diagnosis using fuzzy inference system", Adv. Eng. Softw., 32, 317-325. https://doi.org/10.1016/S0965-9978(00)00089-2
  26. Zhao, Z. and Chen, C. (2002), "Fuzzy system for concrete bridge damage diagnosis", Comput. Struct., 80, 629-641. https://doi.org/10.1016/S0045-7949(02)00031-7

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