Development of fragility curves by incorporating new spectral shape indicators and a weighted damage index: case study of steel braced frames in the city of Mashhad, Iran

  • Hamid Kazemi
  • Mohsen Ghafory-Ashtiany
  • Alireza Azarbakht
Article

Abstract

In this study, strong ground motion record (SGMR) selection based on Eta (η) as a spectral shape indicator has been investigated as applied to steel braced frame structures. A probabilistic seismic hazard disaggregation analysis for the definition of the target Epsilon (ε) and the target Eta (η) values at different hazard levels is presented, taking into account appropriately selected SGMR’s. Fragility curves are developed for different limit states corresponding to three representative models of typical steel braced frames having significant irregularities in plan, by means of a weighted damage index. The results show that spectral shape indicators have an important effect on the predicted median structural capacities, and also that the parameter η is a more robust predictor of damage than searching for records with appropriate ε values.

Keywords

vulnerability spectral shape indicator incremental dynamic analysis damage index hazard disaggregation record selection 

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References

  1. Aslani H and Miranda E (2003), “Probabilistic Assessment of Building Response during Earthquakes,” Proc. Ninth International Conference on Application of Statistics and Probability in Civil Engineering, San Francisco, CA, 2: 1441–8.Google Scholar
  2. Azarbakht A, Mousavi M, Nourizadeh M and Shahri M (2014), “Dependence of Correlations between Spectral Accelerations at Multiple Periods on Magnitude and Distance,” Earthquake Engineering & Structural Dynamics, 43(8): 1193–1204.CrossRefGoogle Scholar
  3. Azarbakht A, Shahri M and Mousavi M (2015), “Reliable Estimation of the Mean Annual Frequency of Collapse by Considering Ground Motion Spectral Shape Effects,” Bulletin of Earthquake Engineering, 13(3): 777–797.CrossRefGoogle Scholar
  4. Baker JW and Cornell CA (2003), “Uncertainty Specification and Propagation for Loss Estimation Using FOSM Methods,” PEER Report 2003/07, Pacific Earthquake Engineering Research Centre, University of California, Berkeley, CA.Google Scholar
  5. Baker JW and Cornell CA (2006), “Spectral Shape, Epsilon and Record Selection,” Earthquake Engineering & Structural Dynamics, 34(10): 1193–1217.CrossRefGoogle Scholar
  6. Benavent-Climent A (2007), “An Energy-based Damage Model for Seismic Response of Steel Structures,” Earthquake Engineering and Structural Dynamics, 36: 1049–1064.CrossRefGoogle Scholar
  7. Bojrَquez E, Iervolino I, Reyes-Salazar A and Ruiz SE (2012), “Comparing Vector-valued Intensity Measures for Fragility Analysis of Steel Frames in the Case of Narrow-band Ground Motions,” Engineering Structures, 45: 472–480.CrossRefGoogle Scholar
  8. Building and Housing Research Center (1999), Iranian Code of Practice for Seismic Resistant Design of Buildings, (Standard No.2800, 2nd edition), Tehran, Iran.Google Scholar
  9. Chopra AK (2012), Dynamics of Structures: Theory and Applications to Earthquake Engineering, 4th Edition, Prentice Hall, Englewood Cliffs, New Jersey.Google Scholar
  10. Cornell A, Zareian F, Krawinkler H and Miranda E (2005), “Prediction of Probability of Collapse,” In H. Krawinkler (Ed.),Van Nuys Hotel Building Testbed Report: Exercising Seismic Performance Assessment, Pacific Earthquake Engineering Research, 4.5.Vol. 2005/11: 85–93.Google Scholar
  11. Eads L, Miranda E and Lignos DG (2015), “Average Spectral Acceleration as an Intensity Measure for Collapse Risk Assessment,” Earthquake Engineering and Structural Dynamic, 44(12): 2057–2073.CrossRefGoogle Scholar
  12. Estekanchi H and Arjomandi K (2007), “Comparison of Damage Indexes in Nonlinear Time History Analysis of Steel Moment Frames,” Asian Journal of Civil Engineering, 8(6): 629–646.Google Scholar
  13. Fell BV, Kanvinde AM and Deierlein GG (2010), “Large-scale Testing and Simulation of Earthquake Induced Ultra Low Cycle Fatigue in Bracing Members Subjected to Cyclic Inelastic Buckling,” Technical Report #172, Blume Earthquake Engineering Center, Stanford University, Stanford, CA.Google Scholar
  14. FEMA-356 (1997), NEHRP Prestandard and Commentary for the Seismic Rehabilitation of Buildings, Federal Emergency Management Agency, Washington, D.C.Google Scholar
  15. Gerami M, Sharbati Y and Sivandi-Pour A (2013), “Nonlinear Seismic Vulnerability Evaluation of Irregular Steel Buildings with Cumulative Damage Indices,” International Journal of Advanced Structural Engineering, 5(1): 1–15.CrossRefGoogle Scholar
  16. Ghobarah H, Abou-Elfath H and Biddah A (1999), “Response-based Damage Assessment of Structures,” Earthquake Engineering and Structural Dynamic, 28: 79–104.CrossRefGoogle Scholar
  17. Ghodrati Amiri G, Jalalian M and Razavian Amrei SA (2007), “Derivation of Vulnerability Functions Based on Observational Data for Iran,” Proceedings of the International Symposium on Innovation & Sustainability of Structures in Civil Engineering, Shanghai, China.Google Scholar
  18. Gehl P, Seyedi DM and Douglas J (2013), “Vectorvalued Fragility Functions for Seismic Risk Evaluation,” Bulletin of Earthquake Engineering, 11(2): 365–384.CrossRefGoogle Scholar
  19. Goulet C, Haselton CB, Mitrani-Reiser J, Stewart JP, Taciroglu E and Deierlein G (2006), “Evaluation of the Seismic Performance of a Code-conforming Reinforced Concrete Frame Building-Part I,” Paper NCEE-1576, Proc. 8th National Conference on Earthquake Engineering, San Francisco, CA.Google Scholar
  20. Haselton CB and Deierlein GG (2007), “Assessing Seismic Collapse Safety of Modern Reinforced Concrete Frame Buildings,” PEER Report 2007/08, Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA.Google Scholar
  21. Hatefi H (2010), “Nonlinear Dynamic Analysis Based on M6.5 Strong Ground Motion Database,” MSc Dissertation, Dept. of Civil Engineering, IIEES, Tehran, Iran.Google Scholar
  22. Jafari MA and Hashemi HB (2008), “Experimental Investigation on Seismic Behaviour of Batten Columns,” PhD. Dissertation, International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran.Google Scholar
  23. Jalalian M (2006), “Deriving of Empirical Vulnerability Functions for Iran,” MSc Dissertation, University of Technology, Tehran, Iran.Google Scholar
  24. Jeong SH and Elnashai AS (2006), “New Three Dimensional Damage Index for RC Buildings with Plan Irregularities”, Journal of Structural Engineering (ASCE), 132(9):1482–1490.CrossRefGoogle Scholar
  25. Karamanci E and Lignos DG (2014), “Computational Approach for Collapse Assessment of Concentrically Braced Frames in Seismic Regions,” Journal of Structural Engineering, A4014019.Google Scholar
  26. Khashaee P (2005), “Damage-based Seismic Design of Structures,” Earthquake Spectra, 21: 371–387.CrossRefGoogle Scholar
  27. Lu X, Ye L, Lu X, Li M and Ma X (2013), “An Improved Ground Motion Intensity Measure for Super High-rise Buildings,” Science China Technological Sciences, 56(6): 1525–1533.CrossRefGoogle Scholar
  28. Moghadam AS (2005), “Ground-based Damage Statistics of Buildings that Survived the 2003 Bam, Iran,” Earthquake Spectra, 21(S1): S425–37.CrossRefGoogle Scholar
  29. Mousavi M, Ghafory-Ashtiany M and Azarbakht A (2011), “A New Indicator of Elastic Spectral Shape for the Reliable Selection of Ground Motion Records,” Earthquake Engineering & Structural Dynamics, 40(12):1403–1416.CrossRefGoogle Scholar
  30. OpenSees (2007), Open System for Earthquake Engineering Simulation Manual, Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA.Google Scholar
  31. Shirian F (2005), “Seismic Rehabilitation of Existing Steel Braced Frames to Achieve Current Seismic Regulations,” MSc Dissertation, Department of Civil Eng, Kharazmi University, Tehran, Iran.Google Scholar
  32. Uriz P, Filippou FC and Mahin SA (2008), “Model for Cyclic Inelastic Buckling for Steel Member,” Journal of Structural Engineering, ASCE, 134(4): 619–628.CrossRefGoogle Scholar
  33. Vamvatsikos D, Jalayer F and Cornell CA (2003), “Application of Incremental Dynamic Analysis to an RC Structure,” Proceedings of the Conference: FIB Symposium, Concrete Structures in Seismic Regions, Athens, Greece.Google Scholar
  34. Williams MS and Sexsmith RG (1995), “Seismic Damage Indices for Concrete Structures: a State-of-theart Review,” Earthquake Spectra, 11(2): 319–349.CrossRefGoogle Scholar
  35. Yakhchalian M, Amiri GG and Nicknam A (2014), “A New Proxy for Ground Motion Selection in Seismic Collapse Assessment of Tall Buildings,” The Structural Design of Tall and Special Buildings, 23: 1275–1293.CrossRefGoogle Scholar
  36. Yakhchalian M, Nicknam A and Amiri GG (2015), “Optimal Vector-valued Intensity Measure for Seismic Collapse Assessment of Structures,” Earthquake Engineering & Engineering Vibration, 14(1): 37–54.CrossRefGoogle Scholar

Copyright information

© Institute of Engineering Mechanics, China Earthquake Administration and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Hamid Kazemi
    • 1
  • Mohsen Ghafory-Ashtiany
    • 2
  • Alireza Azarbakht
    • 3
  1. 1.Department of Civil Engineering, Science and Research BranchIslamic Azad UniversityTehranIran
  2. 2.International Institute of Earthquake Engineering and Seismology (IIEES)TehranIran
  3. 3.Department of Civil Engineering, Faculty of EngineeringArak UniversityArakIran

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