Abstract
Nonlinear dynamic analysis of existing or planned structures often requires the use of accelerograms that match a target design spectrum. Here, our main concern is to generate a set of motions with a good level of fit to the Eurocode 8 design spectra for France. Synthetic time series are generated by means of a non-stationary stochastic method. To calibrate the input parameters in the stochastic approach, we select a reference set of accelerograms for a Eurocode 8 type B site category from the PEER Ground-Motion Database, which are then adjusted to the target spectrum through wavelet addition. Then, we compute nonlinear seismic responses of a soil column, including pore pressure effects, and brittle and ductile structures to the stochastic time-series, the natural accelerograms and time-series generated using stationary stochastic approaches. The results of these calculations reveal considerable variability in response despite the similarities in terms of spectral acceleration.
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References
Abrahamson N (1992) Non-stationary spectral matching. Seismol Res Lett 63(1):30
Abrahamson NA, Silva WJ (1996) Empirical ground motion models. Report to Brookhaven National Laboratory
Anderson J (2004) Quantitative measure of the goodness-of-fit of synthetic seismograms. In: Proceedings of the 13th World conference on earthquake engineering. Vancouver, Canada. Paper 243
Atkinson G, Goda K (2010) Inelastic seismic demand of real versus simulated ground-motion records for Cascadia subduction earthquakes. Bull Seismol Soc Am 100(1):102–115
Bommer JJ, Acevedo AB (2004) The use of real accelerograms as input to dynamic analyses. J Earthq Eng 8:43–91
Buratti N, Stafford P, Bommer JJ (2011) Earthquake accelerogram selection and scaling procedures for estimating the distribution of drift response. J Struct Eng (ASCE) 137:345–357
Douglas J (2006) Strong-motion records selection for structural testing. In: Proceedings of first European conference on earthquake engineering and seismology (a joint event of the 13th ECEE & 30th General Assembly of the ESC). Paper number 5
Douglas J, Aochi H (2008) A survey of techniques for predicting earthquake ground motions for engineering purposes. Surv Geophys 29(3):187–220. doi:10.1007/s10712-008-9046-y
Federal Emergency Management Agency (FEMA) (1999) HAZUS earthquake loss estimation methodology. Federal Emergency Management Agency, Washington, DC
Gasparini DA, Vanmarcke EH (1976) SIMQKE: a program for artificial motion generation. Department of Civil Engineering, Massachusetts Institute of Technology, Cambridge, MA
Gehl P, Seyedi DM, Douglas J (2013) Vector-valued fragility functions for seismic risk evaluation. Bull Earthq Eng 11(2):365–384. doi:10.1007/s10518-012-9402-7
Giaralis A, Spanos PD (2009) Wavelet-based response spectrum compatible synthesis of accelerograms—Eurocode application (EC8). Soil Dyn Earthq Eng 29(1):219–235
Hancock J, Watson-Lamprey J, Abrahamson N, Bommer J, Markatis A, McCoy E, Mendis R (2006) An improved method of matching response spectra of recorded earthquake ground motion using wavelets. J Earthq Eng 10(spec01):67–89
Iai S, Matsunaga Y, Kameoka T (1990a) Strain space plasticity model for cyclic mobility. Rep Port Harb Res Inst 29:27–56
Iai S, Matsunaga Y, Kameoka T (1990b) Parameter identification for cyclic mobility model. Rep Port Harb Res Inst 29:57–83
Iai S, Morita T, Kameoka T, Matsunaga Y, Abiko K (1995) Response of a dense sand deposit during 1993 Kushiro-Oki earthquake. Soils Found 35:115–131
Iervolino I, De Luca F, Cosenza E (2010a) Spectral shape-based assessment of SDOF nonlinear response to real, adjusted and artificial accelerograms. Eng Struct 32:2776–2792
Iervolino I, Galasso C, Cosenza E (2010b) REXEL: computer aided record selection for code-based seismic structural analysis. Bull Earthq Eng 8:339–362
Kayhan AH, Korkmaz KA, Irfanoglu A (2011) Selecting and scaling real ground motion records using harmony search algorithm. Soil Dyn Struct Eng 31(7):941–953
Konder RL, Zelasko JS (1963), A hyperbolic stress-strain formulation for sands. In: Proceedings of second pan American conference on soil mechanics and foundation engineering, Brazil, pp 289–324
Laurendeau A (2013) Définitions des mouvements sismiques au rocher. PhD thesis, Université de Grenoble
Laurendeau A, Causse M, Guéguen P, Perrault M, Bonilla LF, Douglas J (2012) A set of Eurocode 8-compatible synthetic time-series as input to dynamic analysis. In: Proceedings of the fifteenth world conference on earthquake engineering. Lisbon, Portugal
Lestuzzi P, Belmouden Y, Trueb M (2007) Non-linear seismic behavior of structures with limited hysteretic energey dissipation capacity. Bull Earthq Eng 5(1):549–569
Motazedian D, Atkinson GM (2005) Stochastic finite-fault modeling based on a dynamic corner frequency. Bull Seismol Soc Am 95:995–1010
O’Connell D., Ake JP, Bonilla LF, Liu P, LaForge R, Ostenaa D (2012) Strong ground motion estimation. In: Earthquake research and analysis—new frontiers in seismology, ISBN 978-953-307-840-3
Özer B, Akkar S (2012) A procedure on ground motion selection and scaling for nonlinear response of simple structural systems. Earthq Eng Struct Dyn 41(12):1693–1707. doi:10.1002/eqe.1198
Pequegnat C, Gueguen P, Hatzfeld D, Langlais M (2008) The French accelerometric network (RAP) and National Data Centre (RAP-NDC). Seismol Res Lett 79(1):79–89
Perrault M, Guéguen P, Aldea A, Demetriu S (2013) Reducing the uncertainties of the fragility curves using experimental testing in existing buildings: the case of the BRD tower of Bucharest (Romania). Earthq Eng Eng Vib 12(4)
Pousse G, Berge-Thierry C, Bonilla F, Bard PY (2005) Eurocode 8 design response spectra evaluation using the K-Net Japaneese database. J Earthq Eng 9:547–574
Pousse G, Bonilla LF, Cotton F, Margerin L (2006) Nonstationary stochastic simulation of strong ground motion time histories including natural variability: application to the K-net Japanese database. Bull Seismol Soc Am 96:2103–2117
Rezaeian S, Der Kiureghian A (2010) Simulation of synthetic ground motions for specified earthquake and site characteristics. Earthq Eng Struct Dyn 39:1155–1180
Rota M, Zuccolo E, Taverna I, Corigliano M, Lai CG, Penna A (2012) Mesozonation of the Italian territory for the definition of real spectrum-compatible accelerograms. Bull Earthq Eng 10(5):1357–1375. doi:10.1007/s10518-012-9369-4
Sabetta F, Pugliese A (1996) Estimation of response spectra and simulation of nonstationary earthquake ground motions. Bull Seismol Soc Am 86:337–352
Schwab P, Lestuzzi P (2007) Assessment of the seismic non-linear behavior of ductile wall structures due to synthetics earthquakes. Bull Earthq Eng 5:67–84
Sextos AG, Katsanos EI, Manolis GD (2011) EC8-based earthquake record selection procedure evaluation: validation study on observed damage of an irregular R/C building. Soil Dyn Struct Eng 31:583–597
Silva W, Lee K (1987) WES RASCAL code for synthesizing earthquake ground motions: state-of-the-art for assessing earthquake Hazards in the United States, Report 24. US Army Engineers Waterways Experiment Station, Misc. Paper S-73-1
Takeda T, Sozen MA, Nielsen NM (1970) Reinforced concrete response to simulated earthquakes. J Struct Div 96(ST12):2557–2573; Proceedings of the American Societey of Civil Engineers (ASCE)
Towhata I, Ishihara K (1985) Modeling soil behavior under principal axes rotation. Paper presented at the fifth international conference on numerical methods in geomechanics. Nagoya, Japan, pp 523–530
Watson-Lamprey J, Abrahamson N (2006) Selection of ground-motion time series and limits on scaling. Soil Dyn Struct Eng 26:477–482
Acknowledgments
This work was partially sponsored by the Ministry of Sustainable Development through the French Accelerometric Network working group “Seismic ground motion for engineering”. An earlier version was presented at the 15th World Conference on Earthquake Engineering (Lisbon, Portugal) in September 2012 (Laurendeau et al. 2012). We thank Pierre Gehl and Jaime Abad for computing the responses of the masonry structure and Pierino Lestuzzi for providing the Takeda code. We also thank Julien Rey for fruitful discussions. Finally, we thank two anonymous reviewers and Roberto Paolucci for their constructive comments on an earlier version of this article.
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Causse, M., Laurendeau, A., Perrault, M. et al. Eurocode 8-compatible synthetic time-series as input to dynamic analysis. Bull Earthquake Eng 12, 755–768 (2014). https://doi.org/10.1007/s10518-013-9544-2
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DOI: https://doi.org/10.1007/s10518-013-9544-2