Structural Engineering and Mechanics

  • 제65권6호
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  • Pages.751-760
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  • 2018
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Reliability-based assessment of damaged concrete buildings

  • Sakka, Zafer I. (Energy and Building Research Center, KISR) ;
  • Assakkaf, Ibrahim A. (Energy and Building Research Center, KISR) ;
  • Qazweeni, Jamal S. (Energy and Building Research Center, KISR)
  • 투고 : 2017.06.17
  • 심사 : 2018.01.17
  • 발행 : 2018.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

Damages in concrete structures due to aging and other factors could be a serious and immense matter. Making the best selection of the most viable and practical repairing and strengthening techniques are relatively difficult tasks using traditional methods of structural analyses. This is due to the fact that the traditional methods used for assessing aging structure are not fully capable when considering the randomness in strength, loads and cost. This paper presents a reliability-based methodology for assessing reinforced concrete members. The methodology of this study is based on probabilistic analysis, using statistics of the random variables in the performance function equations. Principles of reliability updating are used in the assessment process, as new information is taken into account and combined with prior probabilistic models. The methodology can result in a reliability index ${\beta}$ that can be used to assess the structural component by comparing its value with a standard value. In addition, these methods result in partial safety factor values that can be used for the purpose of strengthening the R/C elements of the existing structure. Calculations and computations of the reliability indices and the partial safety factors values are conducted using the First-order Reliability Method and Monte Carlo simulation.

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참고문헌

  1. ACI 318 (2014), Building Code Requirements for Structural Concrete and Commentary, American Concrete Institute, U.S.A.
  2. ACI 562 (2016), Code Requirements for Evaluation, Repair, and Rehabilitation of Concrete Buildings and Commentary, American Concrete Institute, U.S.A.
  3. Ang, H.S. and Tang, H.T. (1984), Probability Concepts in Engineering Planning and Design, Vol. 2: Decision, Risk, and Reliability, John Wiley & Sons Inc. New York, U.S.A.
  4. ASME (2005), Development of Reliability-Based Load and Resistance Factor Design (LRFD) Methods for Piping, ASME, 1828 L St. NW Suite 906, Washington, U.S.A.
  5. Assakkaf, I., Sakka, Z. and Qazweeni, J. (2016), "Structural assessment and reliability of existing buildings", Proceedings of the 6th Asian-Pacific Symposium on Structural Reliability and its Applications, Tongji University Press, China, June.
  6. Assakkaf, I.A. (1998), Reliability-Based Design of Panels and Fatigue Details of Ship Structures, University of Maryland, College Park, U.S.A.
  7. Assakkaf, I.A. (2012a), Reliability Design of Doubler Plates for Sea Tankers, Advances in Civil Engineering and Building Materials, Hong Kong, November.
  8. Assakkaf, I.A. (2012b), Reliability-Based Design of Tanker Unstiffened Steel Panels, Advances in Civil Engineering and Building Materials, Hong Kong, November.
  9. Assakkaf, I.A., Kamal, H. and Al-Saffar, M. (2013), Assessment of Reinforced Concrete Structural Components for An Aging Complex Building Using Reliability Methodologies, Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, New York, U.S.A., June.
  10. Ayyub, B.M. and McCuen, R.H. (2011), Probability, Statistics, and Reliability for Engineers and Scientists, CRC Press, Boca Raton, Florida, U.S.A.
  11. Ayyub, B.M., Assakkaf, I., Atua, K., Engle, A., Hess, P., Karaszewski, Z., Kihl, D., Melton, W., Sielski, R.A., Sieve, M., Waldman, J. and White, G. J. (1998), Reliability-based Design of Ship Structures: Current Practice and Emerging Technologies, R-53, SNAME, T & R, U.S.A.
  12. Bayerische Ingenieurkammer Bau (2004), Report 2004.
  13. Ellingwood, B.R., Galambos, T.V., McGregor, J.G. and Cornell, C.A. (1980), Development of a Probability Based Load Criterion for American National Standard A58, NBS Special Report 577, U.S. Department of Commerce, National Bureau of Standards, U.S.A.
  14. Hasofer, A.M. and Lind, N.C. (1974), "Exact and invariant second-moment code format", J. Eng. Mech. Div., 100(1), 111-121.
  15. Keshtegar, B. (2016), "Chaotic conjugate stability transformation method for structural reliability analysis", Comput. Meth. Appl. Mech. Eng., 310, 866-885. https://doi.org/10.1016/j.cma.2016.07.046
  16. Krakovski, M. (1995), "Structural reliability estimation using Monte Carlo simulation and Pearson's curves", Struct. Eng. Mech., 3(3), 201-213. https://doi.org/10.12989/sem.1995.3.3.201
  17. Leira, B.J. (2016), "Reliability updating based on monitoring of structural response parameters", Reliab. Eng. Syst. Safety, 155, 212-223. https://doi.org/10.1016/j.ress.2016.07.006
  18. Liu, Y., Jeong, H.K. and Collette, M. (2016), "Efficient optimization of reliability-constrained structural design problems including interval uncertainty", Comput. Struct., 177, 1-11. https://doi.org/10.1016/j.compstruc.2016.08.004
  19. Low, B. and Tang, W. (2007), "Efficient spreadsheet algorithm for first-order reliability method", J. Eng. Mech., 133(12), 1378-1387. https://doi.org/10.1061/(ASCE)0733-9399(2007)133:12(1378)
  20. Low, B.K. and Tang, W.H. (2004), "Reliability analysis using object-oriented constrained optimization", Struct. Safety, 26(1), 69-89. https://doi.org/10.1016/S0167-4730(03)00023-7
  21. Melchers, R.E. (1999), Structural Reliability Analysis and Prediction, John Wiley & Sons Ltd, West Sussex, U.K.
  22. Nowak, A.S., Rakoczy, A.M. and Szeliga, E.K. (2012), "Revised statistical resistance models for R/C structural components", Spec. Publ., 284.
  23. Paul, J.H. (2002), Repair, Renovation and Strengthening of Concrete Structures, Evaluation and Rehabilitation of Concrete Structures, Mexico, September.
  24. Picard, Y., Thompson, C.J. and Marrett, S. (1992), "Improving the precision and accuracy of Monte Carlo simulation in positron emission tomography", IEEE Trans. Nucl. Sci., 39(4), 1111-1116. https://doi.org/10.1109/23.159769
  25. Rackwitz, R. and Flessler, B. (1978), "Structural reliability under combined random load sequences", Comput. Struct., 9(5), 489-494. https://doi.org/10.1016/0045-7949(78)90046-9
  26. RILEM (2001), Probabilistic Assessment of Existing Structures-JCSS Report, Rep. No. rep032, RILEM Publications SARL.
  27. Schueller, G.I. (2007), "On procedures for reliability assessment of mechanical systems and structures", Struct. Eng. Mech., 25(3), 275-289. https://doi.org/10.12989/sem.2007.25.3.275
  28. Seo, D., Shin, S. and Han, B. (2010), "Reliability-based structural safety evaluation of reinforced concrete members", J. Asian Architect. Build. Eng., 9(2), 471-478. https://doi.org/10.3130/jaabe.9.471
  29. Szerszen, M., Szwed, A. and Nowak, A. (2005), "Reliability analysis for eccentrically loaded columns", Struct. J., 102(5), 676-688.
  30. Wang, G.S., Ang, H.S. and Lee, J. (1997), "Adaptive kernal method for evaluating structurl system reliability", Struct. Eng. Mech., 5(2), 115-126. https://doi.org/10.12989/sem.1997.5.2.115
  31. Wang, R., Wang, X., Wang, L. and Chen, X. (2016), "Efficient computational method for the non-probabilistic reliability of linear structural systems", Acta Mech. Sol. Sin., 29(3), 284-299. https://doi.org/10.1016/S0894-9166(16)30162-8
  32. Xu, J., Zhang, W. and Sun, R. (2016), "Efficient reliability assessment of structural dynamic systems with unequal weighted quasi-Monte Carlo simulation", Comput. Struct., 175, 37-51. https://doi.org/10.1016/j.compstruc.2016.06.005