DOI QR코드

DOI QR Code

Probabilistic sensitivity analysis of multi-span highway bridges

  • Bayat, M. (Department of Civil and Environmental Engineering, Tarbiat Modares University) ;
  • Daneshjoo, F. (Department of Civil and Environmental Engineering, Tarbiat Modares University) ;
  • Nistico, N. (Department of Structural and Geotechnical Engineering, Universita degli Studi di Roma "La Sapienza")
  • Received : 2014.12.11
  • Accepted : 2015.04.29
  • Published : 2015.07.25

Abstract

In this study, we try to compare different intensity measures for evaluating nonlinear response of bridge structure. This paper presents seismic analytic fragility of a three-span concrete girder highway bridge. A complete detail of bridge modeling parameters and also its verification has been presented. Fragility function considers the relationship of intensities of the ground motion and probability of exceeding certain state of damage. Incremental dynamic analysis (IDA) has been subjected to the bridge from medium to strong ground motions. A suite of 20 earthquake ground motions with different range of PGAs are used in nonlinear dynamic analysis of the bridge. Complete sensitive analyses have been done on the response of bridge and also efficiency and practically of them are studied to obtain a proficient intensity measure for these types of structure by considering its sensitivity to the period of the bridge. Three dimensional finite element (FE) model of the bridge is developed and analyzed. The numerical results show that the bridge response is very sensitive to the earthquake ground motions when PGA and Sa (Ti, 5%) are used as intensity measure (IM) and also indicated that the failure probability of the bridge system is dominated by the bridge piers.

Keywords

References

  1. Agency, F.E.M. (2009), Quantification of Building Seismic Performance Factors, FEMA P695; Washington, D.C., USA.
  2. Banerjee, S. and Shinozuka, M. (2008), "Mechanistic quantification of RC bridge damage states under earthquake through fragility analysis", Probabilist. Eng. Mech., 23(1), 12-22. https://doi.org/10.1016/j.probengmech.2007.08.001
  3. Basoz, N.I. and Kiremidjian, A.S. (1998), "Evaluation of bridge damage data from the Loma Prieta and Northridge", Technical Report MCEER; California Earthquakes.
  4. Choi, E. (2002), Seismic Analysis and Retrofit of Mid-America Bridges. Dissertation, Department of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
  5. Cimerallo, G.P., Reinhorn, A.M. and Bruneau, M. (2010), "Framework for analytical quantification of disaster resilience", Eng. Struct., 32(11), 3639-3649. https://doi.org/10.1016/j.engstruct.2010.08.008
  6. Cornell, A.C., Jalayer, F. and Hamburger, R.O. (2002), "Probabilistic basis for 2000 SAC federal emergency management agency steel moment frame guidelines", J. Struct. Eng., 128(4), 526-532. https://doi.org/10.1061/(ASCE)0733-9445(2002)128:4(526)
  7. Deepu, S.P., Prajapat, K. and Ray-Chaudhuri, S. (2014), "Seismic vulnerability of skew bridges under bi-directional ground motions", Eng. Struct., 71(9), 150-160. https://doi.org/10.1016/j.engstruct.2014.04.013
  8. Eads, L., Miranda, E., Krawinkler, H. and Lignos, D. (2013), "An efficient method for estimating the collapse risk of structures in seismic regions", Earthq. Eng. Struct. Dyn., 42(1), 25-41. https://doi.org/10.1002/eqe.2191
  9. FEMA (2003), HAZUS-MH MR1: Technical Manual; Federal Emergency Management Agency Washington, D.C., USA.
  10. Hwang, H. and Huo, J.R. (1998), "Probabilistic seismic damage assessment of highway bridges", Proceedings of the Sixth U.S. National Conference on Earthquake Engineering, Seattle, WA, USA, May-June; Earthquake Engineering Research Institute, Oakland, CA, USA. [on CD-ROM]
  11. Hwang, H., Liu, J. and Chiu, Y. (2001), "Seismic fragility analysis of highway bridges", Technical Report; Center for Earthquake Research and Information, University of Memphis, Memphis, TN, USA.
  12. Kameshwar, S. and Padgett, J.E. (2014), "Multi-hazard risk assessment of highway bridges subjected to earthquake and hurricane hazards", Eng. Struct., 78(11), 154-166. https://doi.org/10.1016/j.engstruct.2014.05.016
  13. Kaviani, P. (2011), "Performance-based seismic assessment of skewed bidges", Ph.D. Dissertation; University of California-Irvine, Irvine, CA, USA.
  14. Karim, K.R. and Yamazaki, F. (2003), "A simplified method of constructing fragility curves for highway bridges", Earthq. Eng. Struct. Dyn., 32(10), 1603-1622. https://doi.org/10.1002/eqe.291
  15. Mackie, K.R., Wong, J.M. and Stojadinovic, B. (2010), "Post-earthquake bridge repair cost and repair time estimation methodology", Earthq. Eng. Struct. Dyn., 39(3), 281-301. https://doi.org/10.1002/eqe.942
  16. Mander, J.B. and Basoz, N. (1999), "Seismic fragility curve theory for highway bridges", Proceedings of the 5th U.S. Conference on Lifeline Earthquake Engineering, Seattle, WA, USA, August, pp. 31-40.
  17. Monti, G. and Nistico, N. (2002), "Simple probability-based assessment of bridges under scenario earthquakes", J. Bridge Eng., 7(2), 104-114. https://doi.org/10.1061/(ASCE)1084-0702(2002)7:2(104)
  18. Monti, G., Nistico, N. and Santini, S. (2001), "Design of FRP jackets for upgrade of circular bridge piers", J. Compos. Construct., 5(2), 94-101. https://doi.org/10.1061/(ASCE)1090-0268(2001)5:2(94)
  19. Nielson, G.B. (2005), "Analytical fragility curves for highway bridges in moderate seismic zones", Georgia Institute of Technology; in partial requirement for the requirement for Doctor of Philosophy.
  20. Padgett, J.E., Nielson, B.G. and DesRoches, R. (2008), "Selection of optimal intensity measures in probabilistic seismic demand models of highway bridge portfolios", Earthq. Eng. Struct. Dyn., 37(5), 711-725. https://doi.org/10.1002/eqe.782
  21. Padgett, J.E., Dennemann, K. and Ghosh, J. (2010), "Risk-based seismic life-cycle cost-benefit (LCC-B) analysis for bridge retrofit assessment", Struct. Safe., 32(3), 165-173. https://doi.org/10.1016/j.strusafe.2009.10.003
  22. Pan, Y., Agrawal, A.K., Ghosn, M. and Alampalli, S. (2010), "Seismic fragility of multispan simply supported steel highway bridges in New York State. II: Fragility analysis, fragility curves, and fragility surfaces", J. Bridge Eng., 15(5), 462-472. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000055
  23. Ramanathan, K.N. (2012), "Next generation seismic fragility curves for California bridges incorporating the evolution in seismic design philosophy", Georgia Institute of Technology; in partial requirement for the requirement for Doctor of Philosophy.
  24. Rix, G. and Fernandez-Leon, J. (2004), Synthetic Ground Motions for Memphis, TN, USA. AE http://www.ce.gatech.edu/research/mae_ground_motions
  25. Shinozuka, M., Feng, M.Q., Kim, H.-K. and Kim, S.-H. (2000a), Nonlinear static procedure for fragility curve development", J. Eng. Mech., 126(12), 1287-1295. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:12(1287)
  26. Shinozuka, M., Feng, M.Q., Lee, J. and Naganuma, T. (2000b), "Statistical analysis of fragility curves", J. Eng. Mech., 126(12), 1224-1231. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:12(1224)
  27. Sung, Y.-C. and Su, C.-K. (2011), "Time-dependent seismic fragility curves on optimal retrofitting of neutralised reinforced concrete bridges", Struct. Infrastruct. Eng., 7(10), 797-805. https://doi.org/10.1080/15732470902989720
  28. Tavares, D.H., Padgett, J.E. and Paultre, P. (2012), "Fragility curves of typical as-built highway bridges in eastern Canada", Eng. Struct., 40(9), 107-118. https://doi.org/10.1016/j.engstruct.2012.02.019
  29. Wright, T., DesRoches, R. and Padgett, J.E. (2011), "Bridge seismic retrofitting practices in the central and Southeastern United States", J. Bridge Eng., 16(1), 82-92. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000128
  30. Yamazaki, F., Motomura, H. and Hamada, T. (2000), "Damage assessment of expressway networks in Japan based on seismic monitoring", Proceedings of the 12th World Conference on Earthquake Engineering, Auckland, New Zealand, January-February.
  31. Yi, J.-H., Kim, S.-H. and Kushiyama, S. (2007), "PDF interpolation technique for seismic fragility analysis of bridges", Eng. Struct., 29(7), 1312-1322. https://doi.org/10.1016/j.engstruct.2006.08.019

Cited by

  1. Closed-form fragility analysis of the steel moment resisting frames vol.21, pp.1, 2016, https://doi.org/10.12989/scs.2016.21.1.093
  2. A novel proficient and sufficient intensity measure for probabilistic analysis of skewed highway bridges vol.55, pp.6, 2015, https://doi.org/10.12989/sem.2015.55.6.1177
  3. Seismic fragility curves for highly skewed highway bridges vol.19, pp.4, 2017, https://doi.org/10.21595/jve.2017.18340
  4. Identification of soil properties based on accelerometer records and comparison with other methods vol.9, pp.6, 2016, https://doi.org/10.1007/s12517-016-2452-4
  5. The effect of different intensity measures and earthquake directions on the seismic assessment of skewed highway bridges vol.16, pp.1, 2017, https://doi.org/10.1007/s11803-017-0375-z
  6. Seismic performance of skewed highway bridges using analytical fragility function methodology vol.16, pp.5, 2015, https://doi.org/10.12989/cac.2015.16.5.723
  7. Analysis on the Time-Varying Fragility of Offshore Concrete Bridge vol.2019, pp.1099-0526, 2019, https://doi.org/10.1155/2019/2739212
  8. A novel index for damage detection of deck and dynamic behavior of horizontally curved bridges under moving load vol.19, pp.7, 2017, https://doi.org/10.21595/jve.2017.19370
  9. Optimal intensity measures for probabilistic seismic demand models of RC high-rise buildings vol.13, pp.3, 2015, https://doi.org/10.12989/eas.2017.13.3.221
  10. Seismic evaluation of isolated skewed bridges using fragility function methodology vol.20, pp.4, 2015, https://doi.org/10.12989/cac.2017.20.4.419
  11. A Probabilistic Capacity Model and Seismic Vulnerability Analysis of Wall Pier Bridges vol.10, pp.3, 2015, https://doi.org/10.3390/app10030926
  12. Bayesian demand model based seismic vulnerability assessment of a concrete girder bridge vol.9, pp.4, 2015, https://doi.org/10.12989/acc.2020.9.4.337
  13. Neural network ensemble-based sensitivity analysis in structural engineering: Comparison of selected methods and the influence of statistical correlation vol.242, pp.None, 2015, https://doi.org/10.1016/j.compstruc.2020.106376