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Ground motion record simulation for structural analysis by consideration of spectral acceleration autocorrelation pattern

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A novel approach is introduced to generate simulated ground motion records by considering spectral acceleration correlations at multiple periods. Most of the current reliable Ground Motion Record (GMR) simulation procedures use a seismological model including source, path and site characteristics. However, the response spectrum of simulated GMR is somewhat different when compared with the response spectrum based on recorded GMRs. More specifically, the correlation between the spectral values at multiple periods is a characteristic of a record which is usually different between simulated and recorded GMRs. As this correlation has a significant influence on the structural response, it is needed to investigate the consistency of the simulated ground motions with actual records. This issue has been investigated in this study by incorporating an optimization algorithm within the Boore simulation technique. Eight seismological key parameters were optimized in order to achieve approximately the same correlation coefficients and spectral acceleration between two sets of real and simulated records. The results show that the acceleration response spectra of the synthetic ground motions also have good agreement with the real recorded response spectra by implementation of the proposed optimized values.

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  • Aki K and Richards PG (1980), Quantitative Seismology: Theory and Methods, Vols. I&II, W. H. Freeman, San Francisco, pp. 948.

    Google Scholar 

  • Azarbakht A and Dolsek M (2011), “Progressive Incremental Dynamic Analysis for First-mode Dominated Structures,” Journal of Structural Engineering, 137: 445–455.

    Article  Google Scholar 

  • Baker JW and Cornell CA (2005), “A Vector-valued Ground Motion Intensity Measure Consisting of Spectral Acceleration and Epsilon,” Earthquake Engineering and Structural Dynamics, 34: 1193–1217.

    Article  Google Scholar 

  • Baker JW and Jayaram N (2008), “Correlation of Spectral Acceleration Values from NGA Ground Motion Models,” Earthquake Spectra, 24(1): 299–317.

    Article  Google Scholar 

  • Beresnev I and Atkinson G (1997), “Modelling Finite Fault Radiation from the ωn Spectrum,” Bulletin of the Seismological Society of America, 87: 67–84.

    Google Scholar 

  • Beresnev I and Atkinson G (1998), “FINSIM A FORTRAN Program for Simulating Stochastic Acceleration Time Histories from Finite Faults,” Seismological Research Letters, 69: 27–32.

    Article  Google Scholar 

  • Bommer JJ and Acevedo AB (2004), “The Use of Real Earthquake Accelerograms as Input to Dynamic Analysis,” Journal of Earthquake Engineering, 8: 43–91.

    Google Scholar 

  • Boore DM (2003), “Simulation of Ground Motion Using the Stochastic Method,” Pure and Applied Geophysics, 160: 635–676.

    Article  Google Scholar 

  • Goldberg D (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley: Reading, MA.

    Google Scholar 

  • Hartzell S (1978), “Earthquake Aftershocks as Green’s Functions,” Geophysics Research Letters, 5: 1–14.

    Article  Google Scholar 

  • Holland HJ (1975), Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence, University of Michigan Press, Ann Arbor, MI.

    Google Scholar 

  • Kroittmaier J (1993), Optimizing Engineering Designs, McGraw-Hill, London, UK.

    Google Scholar 

  • Kutner M, Nachtsheim C and Neter J (2004), Applied Linear Regression Models, McGraw-Hill/Irwin, New York, pp. 701.

    Google Scholar 

  • MATLAB, The Language of Technical Computing, Version, (R2010a), Available from:

    Google Scholar 

  • Motazedian D and Atkinson G (2005), “Stochastic Finite-fault Modeling Based on a Dynamic Corner Frequency,” Bulletin of Seismological Society of America, 95: 995–1010.

    Article  Google Scholar 

  • 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 and Structural Dynamics, 40: 1403–1416.

    Article  Google Scholar 

  • Naeim F, Alimoradi A and Pezeshk S (2004), “Selection and Scaling of Ground Motion Earthquakes for Structural Design Using Genetic Algorithms,” Earthquake Spectra, 20: 413–426.

    Article  Google Scholar 

  • Naeim F and Lew M (1995), “On the Use of Design Spectrum Compatible Time Histories,” Earthquake Spectra, 11: 111–127.

    Article  Google Scholar 

  • Pezeshk S, Camp CV and Chen D (2000), “Design of Framed Structures by Genetic Optimization,” Journal of Structural Engineering, 126: 382–388.

    Article  Google Scholar 

  • Saragoni GR and Hart GC (1974), “Simulation of Artificial Earthquakes,” Earthquake Engineering and Structural Dynamics, 2: 249–267.

    Article  Google Scholar 

  • Tothong P (2007), “Probabilistic Seismic Demand Analysis Using Advanced Ground Motion Intensity Measures, Attenuation Relationships, and Near-fault Effects,” PhD Dissertation, Stanford University.

    Google Scholar 

  • Vamvatsikos D and Cornell CA (2002), “Incremental Dynamic Analysis,” Earthquake Engineering and Structural Dynamics, 31: 491–514.

    Article  Google Scholar 

  • Wells DL and Coppersmith KJ (1994), “New Empirical Relationships among Magnitude, Rupture Length, Rupture Width, Rupture Area and Surface Displacement,” Bulletin of Seismological society of America, 84: 974–1002.

    Google Scholar 

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Correspondence to Alireza Azarbakht.

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Azarbakht, A., Sadeghi, M. & Mousavi, M. Ground motion record simulation for structural analysis by consideration of spectral acceleration autocorrelation pattern. Earthq. Eng. Eng. Vib. 13, 195–202 (2014).

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