Ground motion record simulation for structural analysis by consideration of spectral acceleration autocorrelation pattern
详细信息    查看全文
  • 作者:Alireza Azarbakht (1)
    Mahdi Sadeghi (1)
    Mehdi Mousavi (1)
  • 关键词:stochastic method ; simulation ground motion ; random vibration ; site amplification ; EXSIM program
  • 刊名:Earthquake Engineering and Engineering Vibration
  • 出版年:2014
  • 出版时间:June 2014
  • 年:2014
  • 卷:13
  • 期:2
  • 页码:195-202
  • 全文大小:
  • 参考文献:1. Aki K and Richards PG (1980), / Quantitative Seismology: Theory and Methods, Vols. I&II, W. H. Freeman, San Francisco, pp. 948.
    2. Azarbakht A and Dolsek M (2011), 鈥淧rogressive Incremental Dynamic Analysis for First-mode Dominated Structures,鈥? / Journal of Structural Engineering, 137: 445鈥?55. CrossRef
    3. Baker JW and Cornell CA (2005), 鈥淎 Vector-valued Ground Motion Intensity Measure Consisting of Spectral Acceleration and Epsilon,鈥? / Earthquake Engineering and Structural Dynamics, 34: 1193鈥?217. CrossRef
    4. Baker JW and Jayaram N (2008), 鈥淐orrelation of Spectral Acceleration Values from NGA Ground Motion Models,鈥? / Earthquake Spectra, 24(1): 299鈥?17. CrossRef
    5. Beresnev I and Atkinson G (1997), 鈥淢odelling Finite Fault Radiation from the / 蠅n Spectrum,鈥? / Bulletin of the Seismological Society of America, 87: 67鈥?4.
    6. Beresnev I and Atkinson G (1998), 鈥淔INSIM A FORTRAN Program for Simulating Stochastic Acceleration Time Histories from Finite Faults,鈥? / Seismological Research Letters, 69: 27鈥?2. CrossRef
    7. Bommer JJ and Acevedo AB (2004), 鈥淭he Use of Real Earthquake Accelerograms as Input to Dynamic Analysis,鈥? / Journal of Earthquake Engineering, 8: 43鈥?1.
    8. Boore DM (2003), 鈥淪imulation of Ground Motion Using the Stochastic Method,鈥? / Pure and Applied Geophysics, 160: 635鈥?76. CrossRef
    9. Goldberg D (1989), / Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley: Reading, MA.
    10. Hartzell S (1978), 鈥淓arthquake Aftershocks as Green鈥檚 Functions,鈥? / Geophysics Research Letters, 5: 1鈥?4. CrossRef
    11. 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.
    12. Kroittmaier J (1993), / Optimizing Engineering Designs, McGraw-Hill, London, UK.
    13. Kutner M, Nachtsheim C and Neter J (2004), / Applied Linear Regression Models, McGraw-Hill/Irwin, New York, pp. 701.
    14. MATLAB, The Language of Technical Computing, Version 7.10.0.499, (R2010a), Available from: http://mathworks.com.
    15. Motazedian D and Atkinson G (2005), 鈥淪tochastic Finite-fault Modeling Based on a Dynamic Corner Frequency,鈥? / Bulletin of Seismological Society of America, 95: 995鈥?010. CrossRef
    16. Mousavi M, Ghafory-Ashtiany M and Azarbakht A (2011), 鈥淎 New Indicator of Elastic Spectral Shape for the Reliable Selection of Ground Motion Records,鈥? / Earthquake Engineering and Structural Dynamics, 40: 1403鈥?416. CrossRef
    17. Naeim F, Alimoradi A and Pezeshk S (2004), 鈥淪election and Scaling of Ground Motion Earthquakes for Structural Design Using Genetic Algorithms,鈥? / Earthquake Spectra, 20: 413鈥?26. CrossRef
    18. Naeim F and Lew M (1995), 鈥淥n the Use of Design Spectrum Compatible Time Histories,鈥? / Earthquake Spectra, 11: 111鈥?27. CrossRef
    19. Pezeshk S, Camp CV and Chen D (2000), 鈥淒esign of Framed Structures by Genetic Optimization,鈥? / Journal of Structural Engineering, 126: 382鈥?88. CrossRef
    20. Saragoni GR and Hart GC (1974), 鈥淪imulation of Artificial Earthquakes,鈥? / Earthquake Engineering and Structural Dynamics, 2: 249鈥?67. CrossRef
    21. Tothong P (2007), 鈥淧robabilistic Seismic Demand Analysis Using Advanced Ground Motion Intensity Measures, Attenuation Relationships, and Near-fault Effects,鈥? / PhD Dissertation, Stanford University.
    22. Vamvatsikos D and Cornell CA (2002), 鈥淚ncremental Dynamic Analysis,鈥? / Earthquake Engineering and Structural Dynamics, 31: 491鈥?14. CrossRef
    23. Wells DL and Coppersmith KJ (1994), 鈥淣ew Empirical Relationships among Magnitude, Rupture Length, Rupture Width, Rupture Area and Surface Displacement,鈥? / Bulletin of Seismological society of America, 84: 974鈥?002.
  • 作者单位:Alireza Azarbakht (1)
    Mahdi Sadeghi (1)
    Mehdi Mousavi (1)

    1. Department of Civil Engineering, Faculty of Engineering, Arak University, P.O. Box 38156-88359, Arak, Iran
  • ISSN:1993-503X
文摘
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.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700