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Probabilistic LCC evaluation for Surface Repair of carbonated RC structure

탄산화된 RC구조물의 표면보수에 대한 확률론적 LCC 평가

  • Received : 2017.09.07
  • Accepted : 2017.12.04
  • Published : 2018.02.28

Abstract

Carbonation is one of the major detrimental factors to the reinforced concrete structures owing to penetration of atmospheric CO2 through the micro pores, thereby it reduces the durability of the concrete. The maintenance periods and cost for concrete according to the coefficient variation of different finishing materials is documented in literature. However, it is required to carry out the systematic and well planned studies. Therefore, keeping them in mind, surface repair was carried out to the carbonated concrete and the maintenance cost was calculated to measure the durability life after repair with different variable. The deterministic and probabilistic methods were applied for durability and repair cost of the concrete. In the existing deterministic model, the cost of repair materials increases significantly when the concrete structure reaches its service life. In present study using a stochastic model, the maintenance period and cost was evaluated. According to obtained results, there was no significant difference in the number of maintenance of the coefficient variation. The initial durability has a great influence on the maintenance time and cost of the structure. Unlike the deterministic model, the probabilistic cost estimating model reduces the number of maintenance to the target service life expectancy.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. De Jesus, R., Collado, J., Go, J., Rosanto, M., & Tan, J. (2017). Modelling of carbonation of reinforced concrete structures in intramuros, manila using artificial neural network, International Journal of GEOMATE, 13(35), 87-92.
  2. Kellouche, Y., Boukhatem, B., Ghrici, M., & Tagnit-Hamou, A. (2017). Exploring the major factors affecting fly-ash concrete carbonation using artificial neural network, Neural Computing and Applications, 1-20.
  3. Architectural Institute of Japan. (2016) Recommendations for durability design and construction practice of reinforced concrete buildings. 2nd ed. Tokyo(Japan): Architectural Institute of Japan; 98-126.
  4. Cho, H., Ju, H., Oh, J., Lee, K., Hahm, K., & Kim, K. (2016). Estimation of concrete carbonation depth considering multiple influencing factors on the deterioration of durability for reinforced concrete structures, Advances in Materials Science and Engineering, 1-8.
  5. Kwon, S. (2016). Service Life Evaluation of RC Column Exposed to Carbonation Considering Time-dependent Crack Pattern, Journal of the Korean Recycled Construction Resources Institute, 4(1), 10-18. https://doi.org/10.14190/JRCR.2016.4.1.010
  6. Jung, H., Park, H., Kim, J., Kim, G., & Kong, J. (2013). Development of a probabilistic life-cycle cost model for marine structures exposed to chloride attack based on Bayesian approach using monitoring data, KSCE Journal of Civil Engineering, 17(5), 1073-1082. https://doi.org/10.1007/s12205-013-0350-9
  7. Delnavaz, A., & Ramezanianpour, A. (2012). A.The assessment of carbonation effect on chloride diffusion in concrete based on artificial neural network model, Magazine of Concrete Research, 64(10), 877-884 https://doi.org/10.1680/macr.11.00059
  8. Alipour, A., Shafei, B., & Shinozuka, M. (2011). Capacity loss evaluation of reinforced concrete bridges located in extreme chloride-laden environments, Structure and Infrastructure Engineering, 9(1), 8-27
  9. Jung, H. (2010). Durability Analysis and Development of Probability-Based Carbonation Prediction Model in Concrete Structure, Journal Of The Korean Society Of Civil Engineers A, 30(4A), 343-352
  10. Total Information Service Corporation. (2010). TOTAL -LCC, Technical Manual, ver.1.1, 2nd ed., Total Information Service Corporation, 24-28
  11. Yang, J., Yoon, S., Cho, H., Song, H., & Lee, H. (2010). A Study on The Factors which Influence on Evaluating Service Life for Carbonation of RC Structures, Journal of the KIEAE, 10(3), 103-110
  12. Jung, H., Park, H., Kong, J., Zi, G., & Kim, G. (2009). Development of a Successive LCC Model for Marine RC Structures Exposed to Chloride Attack on the Basis of Bayesian Approach, Journal of the Korea Concrete Institute, 21(3), 359-366. https://doi.org/10.4334/JKCI.2009.21.3.359
  13. Chiu, C., Kanematsu, M., Noguchi, T., & Nagai, H. (2008). Optimal maintenance plan of RC building damaged by concrete carbonation using immune algorithm, Journal of Structural and Construction Engineering, 73(624), 173-180. https://doi.org/10.3130/aijs.73.173
  14. Lee, S., Park, W., Lee, H., Kyung, J., & Byun, Y. (2007). A Study of FEM Analysis to Evaluate Restrain-Performance of Surface-Finishes for Carbonation, Journal Of The Architectural Institute Of Korea Structure & Construction, 23(9), 151-158.
  15. Lee, C., Kim, Y., & Kim, Y. (2007). A suggestion of carbonation-prediction equations of viaducts and structures covered creek for road vehicle in seoul metropolitan, Korea Concrete Institute, 19(1), 649-652.
  16. Peng, J., Shao, X., & Jin, X. (2006). Proceedings of the 3rd International Conference on Bridge Maintenance, Safety and Management - Bridge Maintenance, Safety, Management, Life-Cycle Performance and Cost, 821-822.
  17. Kwon, S., Song, H., & Byun, K. (2005). Durability design for cracked concrete structures exposed to carbonation using stochastic approach. Korean Society of Civil Engineers, 25(5), 741-750.
  18. Korean Standards. (2004). KS F 2596 Method for Measuring Carbonation Depth of Concrete. Korea Industrial Standards, Korean Standards & Certification Information Center, 1-7.
  19. Kim, M., Kwon, Y., Kang, S., & Kim, G. (2001). A study on the investigation of carbonation velocity and remaining life by actual condition for reinforced concrete apartments in korea, Architectural Institute of Korea, 7(1), 45-50.