Steel and Composite Structures

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Closed-form fragility analysis of the steel moment resisting frames

  • Kia, M. (Department of Civil and Environmental Engineering, Amirkabir University of Technology) ;
  • Banazadeh, M. (Department of Civil and Environmental Engineering, Amirkabir University of Technology)
  • Received : 2015.11.25
  • Accepted : 2016.03.13
  • Published : 2016.05.20
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Abstract

Seismic fragility analysis is a probabilistic decision-making framework which is widely implemented for evaluating vulnerability of a building under earthquake loading. It requires ingredient named probabilistic model and commonly developed using statistics requiring collecting data in large quantities. Preparation of such a data-base is often costly and time-consuming. Therefore, in this paper, by developing generic seismic drift demand model for regular-multi-story steel moment resisting frames is tried to present a novel application of the probabilistic decision-making analysis to practical purposes. To this end, a demand model which is a linear function of intensity measure in logarithmic space is developed to predict overall maximum inter-story drift. Next, the model is coupled with a set of regression-based equations which are capable of directly estimating unknown statistical characteristics of the model parameters.To explicitly address uncertainties arise from randomness and lack of knowledge, the Bayesian regression inference is employed, when these relations are developed. The developed demand model is then employed in a Seismic Fragility Analysis (SFA) for two designed building. The accuracy of the results is also assessed by comparison with the results directly obtained from Incremental Dynamic analysis.

Keywords

References

  1. Adeli, M., Banazadeh, M. and Deylami, A. (2011a), "A Bayesian approach to construction of probabilistic seismic demand models for steel moment-resisting frames", Scientia Iranica, 18(4), 885-894. https://doi.org/10.1016/j.scient.2011.07.019
  2. Adeli, M., Banazadeh, M. and Deylami, A. (2011b), "Bayesian approach for determination of drift hazard curves for generic steel moment-resisting frames in territory of Tehran", Int. J. Civil Eng., 9(3), 145-154.
  3. ASCE (2010), Minimum Design Loads for Buildings and Other Structures, Vol. 7, No. 10.
  4. Bai, J.-W., Gardoni, P. and Hueste, M.B.D. (2011), "Story-specific demand models and seismic fragility estimates for multi-story buildings", Struct. Safe., 33(1), 96-107. https://doi.org/10.1016/j.strusafe.2010.09.002
  5. Bayat, M. and Daneshjoo, F. (2015), "Seismic performance of skewed highway bridges using analytical fragility function methodology", Comput. Concrete, 16(5), 723-740. https://doi.org/10.12989/cac.2015.16.5.723
  6. Bayat, M., Daneshjoo, F. and Nistico, N. (2015a), "A novel proficient and sufficient intensity measure for probabilistic analysis of skewed highway bridges", Struct. Eng. Mech., Int. J., 55(6), 1177-1202. https://doi.org/10.12989/sem.2015.55.6.1177
  7. Bayat, M., Daneshjoo, F. and Nistico, N. (2015b), "Probabilistic sensitivity analysis of multi-span highway bridges", Steel Compos. Struct., Int. J., 19(1), 237-262. https://doi.org/10.12989/scs.2015.19.1.237
  8. Box, G.E. and Tiao, G.C. (2011), Bayesian Inference in Statistical Analysis, (Volume 40), John Wiley & Sons.
  9. Chintanapakdee, C. and Chopra, A.K. (2003), "Evaluation of modal pushover analysis using generic frames", Earthq. Eng. Struct. Dyn., 32(3), 417-442. https://doi.org/10.1002/eqe.232
  10. Choe, D.E., Gardoni, P., Rosowsky, D. and Haukaas, T. (2008), "Probabilistic capacity models and seismic fragility estimates for RC columns subject to corrosion", Reliab. Eng. Syst. Safe., 93(3), 383-393. https://doi.org/10.1016/j.ress.2006.12.015
  11. Esteva, L. and Ruiz, S.E. (1989), "Seismic failure rates of multistory frames", J. Struct. Eng., 115(2), 268-284. https://doi.org/10.1061/(ASCE)0733-9445(1989)115:2(268)
  12. Federal Emergency Management Agency (2000), FEMA 350: Recommended seismic design criteria for new steel moment-frame buildings & SAC joint Venture, Sacramento, CA, USA.
  13. FEMA P695 (2009), Quantification of Building Seismic Performance Factors, Washington, DC, USA.
  14. Gardoni, P., Der Kiureghian, A. and Mosalam, K.M. (2002), "Probabilistic capacity models and fragility estimates for reinforced concrete columns based on experimental observations", J. Eng. Mech., 128(10), 1024-1038. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:10(1024)
  15. Ghowsi, A.F. and Sahoo, D.R. (2015), "Fragility assessment of buckling-restrained braced frames under near-field earthquakes", Steel Compos. Struct., Int. J., 19(1), 173-190. https://doi.org/10.12989/scs.2015.19.1.173
  16. Goel, R.K. and Chopra, A.K. (1997), "Period formulas for moment-resisting frame buildings", J. Struct. Eng., 123(11), 1454-1461. https://doi.org/10.1061/(ASCE)0733-9445(1997)123:11(1454)
  17. Haldar, A. and Mahadevan, S. (2000), Probability, Reliability, and Statistical Methods in Engineering Design, John Wiley & Sons, Inc.
  18. Jalali, S.A., Banazadeh, M., Abolmaali, A. and Tafakori, E. (2012), "Probabilistic seismic demand assessment of steel moment frames with side-plate connections", Scientia Iranica, 19(1), 27-40. https://doi.org/10.1016/j.scient.2011.11.036
  19. Lignos, D.G. and Krawinkler, H. (2010), "Deterioration modeling of steel components in support of collapse prediction of steel moment frames under earthquake loading", J. Struct. Eng., 137(11), 1291-1302. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000376
  20. Mahsuli, M. (2012), "Probabilistic models, methods, and software for evaluating risk to civil infrastructure", Ph.D. Dissertation; The University of British Columbia, Vancouver, BC, Canada.
  21. Medina, R.A. and Krawinkler, H. (2004), "Seismic demands for non-deteriorating frame structures and their dependence on ground motions", Pacific Earthquake Engineering Research Center.
  22. O'Reilly, G.J. and Sullivan, T.J. (2016), "Fragility functions for eccentrically braced steel frame structures", Eartq. Struct., Int. J., 10(2), 367-388.
  23. Rahnama, M. and Krawinkler, H. (1993), "Effects of soft soil and hysteresis model on seismic demands", No. 108; John A. Blume Earthquake Engineering Center.
  24. Ramamoorthy, S.K., Gardoni, P. and Bracci, J.M. (2006), "Probabilistic demand models and fragility curves for reinforced concrete frames", J. Struct. Eng., 132(10), 1563-1572. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:10(1563)
  25. Ruiz-Garcia, J. and Miranda, E. (2010), "Probabilistic estimation of residual drift demands for seismic assessment of multi-story framed building", Eng. Struct., 32(1), 11-20. https://doi.org/10.1016/j.engstruct.2009.08.010
  26. Sharma, H., Gardoni, P. and Hurlebaus, S. (2014), "Probabilistic demand model and performance-based fragility estimates for RC column subject to vehicle collision", Eng. Struct., 74, 86-95. https://doi.org/10.1016/j.engstruct.2014.05.017
  27. Shome, N. and Cornell, C. (2000), "Structural seismic demand analysis: Consideration of collapse", Proceedings of the 8th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability.
  28. Tabandeh, A. and Gardoni, P. (2014)," Probabilistic capacity models and fragility estimates for RC columns retrofitted with FRP composites", Eng. Struct., 74, 13-22. https://doi.org/10.1016/j.engstruct.2014.05.005
  29. Tang, Y. and Zhang, J. (2011), "Probabilistic seismic demand analysis of a slender RC shear wall considering soil-structure interaction effects", Eng. Struct., 33(1), 218-229. https://doi.org/10.1016/j.engstruct.2010.10.011
  30. Tondini, N. and Stojadinovic, B. (2012), "Probabilistic seismic demand model for curved reinforced concrete bridges", Bull. Earthq. Eng., 10(5), 1455-1479. https://doi.org/10.1007/s10518-012-9362-y
  31. Vamvatsikos, D. and Cornell, C.A. (2002), "Incremental dynamic analysis", Earthq. Eng. Struct. Dyn., 31(3), 491-514. https://doi.org/10.1002/eqe.141
  32. Vamvatsikos, D. and Cornell, C.A. (2005), "Direct estimation of seismic demand and capacity of multidegree-of-freedom systems through incremental dynamic analysis of single degree of freedom approximation 1", J. Struct. Eng., 131(4), 589-599. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:4(589)
  33. Zareian, F. and Krawinkler, H. (2006), "Simplified performance-based earthquake engineering", Stanford University.
  34. Zhu, L., Elwood, K. and Haukaas, T. (2007), "Classification and seismic safety evaluation of existing reinforced concrete columns", J. Struct. Eng., 133(9), 1316-1330. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:9(1316)

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