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Probabilistic time-dependent sensitivity analysis of HPC bridge deck exposed to chlorides

  • Ghosh, Pratanu (Department of Civil and Environmental Engineering, California State University) ;
  • Konecny, Petr (Department of Structural Mechanics, VSB-Technical University of Ostrava) ;
  • Lehner, Petr (Department of Structural Mechanics, VSB-Technical University of Ostrava) ;
  • Tikalsky, Paul J. (College of Engineering, Architecture, and Technology, Oklahoma State University)
  • Received : 2015.11.26
  • Accepted : 2016.12.29
  • Published : 2017.03.25

Abstract

A robust finite element based reinforced concrete bridge deck corrosion initiation model is applied for time-dependent probabilistic sensitivity analysis. The model is focused on uncertainties in the governing parameters that include variation of high performance concrete (HPC) diffusion coefficients, concrete cover depth, surface chloride concentration, holidays in reinforcements, coatings and critical chloride threshold level in several steel reinforcements. The corrosion initiation risk is expressed in the form of probability over intended life span of the bridge deck. Conducted study shows the time-dependent sensitivity analysis to evaluate the significance of governing parameters on chloride ingress rate, various steel reinforcement protection and the corrosion initiation likelihood. Results from this probabilistic analysis provide better insight into the effect of input parameters variation on the estimate of the corrosion initiation risk for the design of concrete structures in harsh chloride environments.

Keywords

Acknowledgement

Supported by : VSB-TUO

References

  1. Ahmad, S., Al-Kutti, W., Al-Amoudi, B.S.O. and Maslehuddin, M. (2009), "Correlations between depth of water penetration, chloride permeability, and coefficient of chloride diffusion in plain, silica fume, and fly ash cement concretes", J. Test Eval., 36(2), 1-4.
  2. Alisa, M., Andrade, C., Gehlen, C., Rodriques, J. and Vogels, R. (1998), Modelling of Degradation, European Union-Brite Euram, Project CT95-0132, BE95-1347, Document BE95-1347/R0.
  3. Ansys 11.0 (2009), Release Documentation.
  4. Bentz, D.P., Garboczi, E.J., Lu, Y., Martys, N., Sakulich, A.R. and Weiss, W.J. (2013), "Modeling of the influence of transverse cracking on chloride penetration into concrete", Cement Concrete Compos., 38, 65-74. https://doi.org/10.1016/j.cemconcomp.2013.03.003
  5. Bentz, E. and Thomas, M.D.A. (2001), Life-365 Service Life Prediction Model, Computer Program for Predicting the Service Life and Life-Cycle Costs of Reinforced Concrete Exposed to Chlorides.
  6. Boddy, A., Bentz, E., Thomas, M.D.A. and Hooton, R.D. (1999), "An overview and sensitivity study of a multi- mechanistic chloride transport model", Cement Concrete Res., 29(6), 827-837. https://doi.org/10.1016/S0008-8846(99)00045-9
  7. Darwin, D., Browning, J., O'Reilly, M., Xing, L. and Ji, J. (2009), "Critical chloride corrosion threshold of galvanized reinforcing bars", ACI Mater. J., 106(2), 176-183.
  8. Ghosh, P., Hammond, A. and Tikalsky, P. (2011), "Prediction of equivalent steady state chloride diffusion coefficients", ACI Mater. J., 108(1), 88-94.
  9. Hartt, H.W., Rodney, G.P. and Kessler, R.J. (2009), "Performance of corrosion resistant reinforcements in concrete and application of results to service life projection", Proceedings of the NACE International Conference, Corrosion, Atlanta, U.S.A., March.
  10. Hooton, R.D., Thomas, M.D.A. and Standish, K. (2001), Prediction of Chloride Penetration in Concrete, Publication FHWA-RD-00-142, Federal Highway Administration, 405.
  11. Kirpatrick, J.T., Weyers, E.R., Abderson-Cook, M.C. and Sprinkel, M.M. (2002), "Probabilistic model for the chloride induced corrosion service life of bridge decks", Cement Concrete Res., 32(12), 1943-1960. https://doi.org/10.1016/S0008-8846(02)00905-5
  12. Konecny, P., Tikalsky, P.J. and Tepke, D.G. (2007), "Performance evaluation of concrete bridge deck affected by chloride ingress: Simulation-based reliability assessment and finite element modeling", J. Transp. Res. Board, 2028.
  13. Lounis, Z. (2003), "Probabilistic modeling of chloride contamination and corrosion of concrete bridge structures-uncertainty modeling and analysis", Proceedings of the 4th International Symposium, Maryland, U.S.A., September.
  14. Lounis, Z., Zhang, J. and Daigle, L. (2014), "Probabilistic study of chloride induced corrosion of carbon steel in concrete structures", Proceedings of the 9th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, Albuquerque, New Mexico, July.
  15. Marek, P., Gustar, M. and Anagnos, T. (1995), "Simulation-based reliability assessment for structural engineers", CRC Press Inc., Florida, U.S.A.
  16. Papadakis, V.G. (2000), "Effect of supplementary cementing materials on concrete resistance against carbonation and chloride ingress", Cement Concrete Res., 30(2), 291-299. https://doi.org/10.1016/S0008-8846(99)00249-5
  17. Pyc, W. (1998), "Field performance of epoxy-coated reinforcing steel in Virginia bridge decks", Ph.D. Dissertation, Virginia Polytechnic Institute and State University, Virginia, U.S.A.
  18. Shim, H. (2005), "Design & analysis of corrosion free service life of concrete structures using monte carlo method", KSCE J. Civil Eng., 9(5), 377-384. https://doi.org/10.1007/BF02830628
  19. Shin, K., Kim, J. and Lee, K. (2011), "Probability-based durability design software for concrete structures subjected to chloride exposed environments", Comput. Concrete, 8(5), 511-524. https://doi.org/10.12989/cac.2011.8.5.511
  20. Sohanghpurwala, A.A. and Scannell, W.T. (1994), "Verification of effectiveness of epoxy-coated rebars", Final Report Project No. 94 005, Pennsylvania Department of Transportation.
  21. Tikalsky, P.J., Pustka, D. and Marek, P. (2005), "Statistical variations in chloride diffusion in concrete", ACI Struct. J., 102(3), 81-86.
  22. Tutti, K. (1982), "Corrosion of steel in concrete", CBI Research Report, Swedish Cement and Concrete Research Institute, Stockholm, Sweden.
  23. Weyers, R.E., Pyc, W. and Sprinkel, M.M. (1998), "Estimating the service life of epoxy-coated reinforcing steel", ACI Mater. J., 95(5), 546-557.
  24. Yao, L., Zhang, L., Zhang, L. and Li, X. (2015), "Prediction of initiation time of corrosion in RC using meshless methods", Comput. Concrete, 6(5), 669-682.
  25. Zhang, J. and Lounis, Z. (2006), "Sensitivity analysis of simplified diffusion-based corrosion initiation model of concrete structures exposed to chlorides", Cement Concrete Res., 36(7), 1312-1323. https://doi.org/10.1016/j.cemconres.2006.01.015
  26. Zhang, X., Zhao, Y., Xing, F. and Zhao, L. (2011), "Coupling effects of influence factors on probability of corrosion initiation time of reinforced concrete", J. Centr. South Univ. Technol., 18, 223-229. https://doi.org/10.1007/s11771-011-0683-9

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