Effect of P-delta uncertainty on the seismic collapse capacity and its variability of single-degree-of freedom systems
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  • 作者:Styliani Tsantaki (1)
    Luis F. Ibarra (2)
    Christoph Adam (1)

    1. Unit of Applied Mechanics
    ; University of Innsbruck ; Technikerstr. 13 ; 6020 ; Innsbruck ; Austria
    2. Civil and Environmental Engineering
    ; University of Utah ; Salt Lake City ; UT ; 84112 ; USA
  • 关键词:Collapse capacity ; Parameter uncertainty ; First ; order ; second ; moment method ; Latin hypercube sampling ; P ; delta effect
  • 刊名:Bulletin of Earthquake Engineering
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:13
  • 期:4
  • 页码:1205-1225
  • 全文大小:1,064 KB
  • 参考文献:1. Adam, C, J盲ger, C (2012) Seismic collapse capacity of basic inelastic structures vulnerable to the P-delta effect. Earthq Eng Struct Dyn 41: pp. 775-793 CrossRef
    2. Adam, C, J盲ger, C (2012) Simplified collapse capacity assessment of earthquake excited regular frame structures vulnerable to P-delta. Eng Struct 44: pp. 159-173 CrossRef
    3. Baker JW, Cornell CA (2003) Uncertainty specification and propagation for loss estimation using FOSM methods. PEER technical report 2003/07. Berkeley, CA
    4. Bradley, BA (2013) A critical examination of seismic response uncertainty analysis in earthquake engineering. Opinion paper. Earthq Eng Struct Dyn 42: pp. 1717-1729 CrossRef
    5. Belleri A, Brunesi E, Nascimbene R, Pagani M, Riva P (2014) Seismic performance of precast industrial facilities following major earthquakes in the Italian territory. J Perform Constr Facil. doi:10.1061/(ASCE)CF.1943-5509.0000617
    6. Cornell CA, Jalayer F, Hamburger RO, Foutch DA (2002) Probabilistic basis for 2000 SAC federal emergency management agency steel moment frame guidelines. J Struct Eng 128(4): 526鈥?33. doi:10.1061/(ASCE)0733-9445(2002)128:4(526)
    7. Dolsek, M (2009) Incremental dynamic analysis with consideration of modeling uncertainties. Earthq Eng Struct Dyn 38: pp. 805-825 CrossRef
    8. Efron, B (1979) Bootstrap method: another look at the Jackknife. Ann Stat 7: pp. 1-26 CrossRef
    9. EN 1998-3 (2005) Eurocode 8: Design of structures for earthquake resistance鈥擯art 3: Assessment and retrofitting of buildings. European Committee for Standardization
    10. Esteva, L, Ruiz, S (1989) Seismic failure rates of multistory frames. J Struct Eng 115: pp. 268-284 CrossRef
    11. Everitt BS (2003) The Cambridge dictionary of statistics, CUP. ISBN:0-521-81099-X
    12. Fardis MN, Biskinis DE (2003) Deformation capacity of RC members, as controlled by flexure or shear. In: Proceedings of the international symposium on performance-based engineering for earthquake resistant structures, honouring of Professor S. Otani, University of Tokyo, Japan, pp 511鈥?30
    13. FEMA-350 (2000) Recommended seismic design criteria for new steel moment-frame buildings. Report no. FEMA-350, SAC Joint Venture, Federal Emergency Management Agency, Washington, DC
    14. FEMA P-695 (2009) Quantification of building seismic performance factors. Federal Emergency Management Agency
    15. Fragiadakis, M, Vamvatsikos, D (2010) Fast performance uncertainty estimation via pushover and approximate IDA. Earthq Eng Struct Dyn 39: pp. 683-703
    16. Haselton CB (2006) Assessing seismic collapse safety of modern reinforced concrete frame buildings. Dissertation, Stanford University
    17. Hora, SC, Helton, JC (2003) A distribution-free test for the relationship between model input and output when using Latin hypercube sampling. Reliab Eng Syst Saf 79: pp. 333-339 CrossRef
    18. Ibarra LF, Krawinkler H (2005) Global collapse of frame structures under seismic excitation. Technical report 152, The John A. Blume Earthquake Engineering Research Center, Department of Civil and Environmental Engineering, Stanford University
    19. Ibarra, L, Krawinkler, H (2011) Variance of collapse capacity of SDOF systems under earthquake excitations. Earth Eng Struct Dyn 40: pp. 1299-1314 CrossRef
    20. Iman RL, Conover WJ (1982) Sensitivity analysis techniques: self-teaching curriculum. Nuclear Regulatory Commission report, NUREG/CR-2350, Technical report SAND81-1978, Sandia National Laboratories, Albuquerque, NM
    21. J盲ger C (2012) The collapse capacity spectrum method. A methodology for rapid assessment of the collapse capacity of inelastic frame structures vulnerable to P-delta subjected to earthquake excitation (in German). Dissertation, University of Innsbruck
    22. J盲ger C, Adam C (2013) Influence of collapse definition and near-field effects on collapse capacity spectra. J Earthq Eng 17:859鈥?78
    23. Jalayer F, Elefante L, Iervolino I, Manfredi G (2009) Confidence factors and structural reliability. In: Eurocode 8 perspectvies from the Italian standpoint workshop. Naples, Italy, pp 39鈥?2
    24. Jalayer, F, Iervolino, I, Manfredi, G (2010) Structural modeling uncertainties and their influence on seismic assessment of existing RC structures. Struct Saf 32: pp. 220-228 CrossRef
    25. Krawinkler H, Zareian F, Lignos, DG, Ibarra LF (2009) Prediction of collapse of structures under earthquake excitations. In: Papadrakakis M, Lagaros ND, Fragiadakis M (eds) Proceedings of the 2nd international conference on computational methods in structural dynamics and earthquake engineering (COMPDYN 2009), 22鈥?4 June 2009, Rhodes, Greece. CD-ROM paper, Paper no. CD449
    26. Kosic, M, Fajfar, P, Dolsek, M (2014) Approximate seismic risk assessment of building structures with explicit consideration of uncertainties. Earth Eng Struct Dyn 39: pp. 683-703
    27. Lee, TH, Mosalam, KM (2005) Seismic demand sensitivity of reinforced concrete shear-wall building using FOSM method. Earth Eng Struct Dyn 34: pp. 1719-1736 CrossRef
    28. Liel, AB, Haselton, CB, Deierlein, GG, Baker, JW (2009) Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings. Struct Saf 31: pp. 197-211 CrossRef
    29. Lignos D (2008) Sidesway collapse of deteriorating structural systems under seismic excitations. Dissertation, Stanford University
    30. MacRae GA (1994) P- \(\Delta \) effects on single-degree-of-freedom structures in earthquakes. Earthq Spectra 10: 539鈥?68
    31. Mckay, MD, Beckman, RJ, Conover, WJ (1979) A comparison of three methods for selecting of values input variables in the analysis of output from a computer code. Technometrics 21: pp. 239-245
    32. Melchers, RE (1999) Structural reliability analysis and prediction. Wiley, Chichester
    33. Nassar A, Krawinkler H (1991) Seismic demands for SDOF and MDOF systems. John A. Blume Earthquake Engineering Research Center report no. 90, Department of Civil Engineering, Stanford University
    34. Nielson, BG, DesRoches, R (2007) Analytical seismic fragility curves for typical bridges in the Central and Southeastern United States. Earthq Spectra 23: pp. 615-633 CrossRef
    35. Papadrakakis, M, Lagaros, ND (2002) Reliability-based structural optimization using neural networks and Monte Carlo simulation. Comput Methods Appl Mech Eng 191: pp. 3491-3507 CrossRef
    36. PEER, ATC 72鈥?,(2010) Modeling and acceptance criteria for seismic design and analysis of tall buildings, PEER/ATC 72鈥? report. Applied Technology Council, Redwood City, CA, Oct 2010
    37. Porter, KA, Beck, JL, Shaikhutdinov, RV (2002) Sensitivity of building loss estimates to major uncertain variables. Earthq Spectra 18: pp. 719-743 CrossRef
    38. Shome N, Cornell CA (1999) Probabilistic seismic demand analysis of nonlinear structures. Report no. RMS-35, Department of Civil Engineering, Stanford University
    39. Stein, M (1987) Large sample properties of simulations using Latin hypercube sampling. Technometrics 29: pp. 143-151 CrossRef
    40. Tsantaki S, J盲ger C, Adam C (2012) Improved seismic collapse prediction of inelastic simple systems vulnerable to the P-delta effect based on average spectral acceleration. In: Proceedings of the 15th world conference on earthquake engineering (15 WCEE), 24鈥?8 Sept 2012, Lisbon, Portugal, digital paper, Paper no. 0287
    41. Ugurhan B, Baker JW, Deierlein GG (2013) Incorporating model uncertainty in collapse reliability assessment of buildings. In: Proceedings of the 11th international conference on structural safety and reliability, New York, NY
    42. Unnikrishnan, VU, Prasad, AM, Rao, BN (2013) Development of fragility curves using high-dimensional model representation. Earthq Eng Struct Dyn 42: pp. 419-430 CrossRef
    43. Vamvatsikos, D, Cornell, CA (2002) Incremental dynamic analysis. Earthq Eng Struct Dyn 31: pp. 491-514 CrossRef
    44. Vamvatsikos, D, Fragiadakis, M (2010) Incremental dynamic analysis for estimating seismic performance sensitivity and uncertainty. Earthq Eng Struct Dyn 39: pp. 141-163
    45. Vamvatsikos D (2014) Seismic performance uncertainty estimation via IDA with progressive accelerogram-wise latin hypercube sampling. ASCE J Struct Eng. doi:10.1061/(ASCE)ST.1943-541X.0001030,A4014015
    46. Vamvatsikos D, Lignos DG (2011). Evaluating the epistemic uncertainty of the seismic demand and capacity for a 9-story steel moment-resisting frame. In: Proceedings of the 7th Hellenic national conference on steel structures, Volos, Greece
    47. Wyss GD, Jorgensen KH (1998) A user鈥檚 guide to LHS: Sandia鈥檚 Latin hypercube sampling software. Sand98-0210, Sandia National Laboratories, Albuquerque, NM
    48. Zareian F, Lignos DG, Krawinkler H (2009) Quantification of modeling uncertainties for collapse assessment of structural systems under seismic excitations. In: Papadrakakis M, Lagaros ND, Fragiadakis M (eds) Proceedings of the 2nd international conference on computational methods in structural dynamics and earthquake engineering (COMPDYN 2009), 22鈥?4 June 2009, Rhodes, Greece. CD-ROM paper, Paper no. CD508
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Geotechnical Engineering
    Civil Engineering
    Geophysics and Geodesy
    Hydrogeology
    Structural Geology
  • 出版者:Springer Netherlands
  • ISSN:1573-1456
文摘
This study assesses the effect of parameter uncertainty of non-deteriorating P-delta vulnerable single-degree-of-freedom systems on the median and dispersion of the collapse capacity. The post-yielding negative slope is a necessary condition of P-delta induced collapse that dominates the failure mode, and thus, it is the primary system parameter to be considered as a random variable. The parameter uncertainty on the collapse capacity is quantified with the first-order-second-moment method, and verified with the Latin hypercube sampling (LHS) technique. The total variability of the collapse capacity is estimated by combining the parameter uncertainty with record-to-record variability according to the square-root-of-sum-of-squares rule. Alternatively, the total variability of the collapse capacity is obtained from LHS realizations that simultaneously account for uncertainty of the post-yielding negative stiffness ratio and the earthquake excitation. The importance of uncertain post-yielding negative slope on the collapse capacity is underlined, and the main observations of the parameter uncertainty and total uncertainty of the collapse capacity are discussed.

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