Structural Engineering and Mechanics

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Simulation of earthquake records using combination of wavelet analysis and non-stationary Kanai-Tajimi model

  • Amiri, G. Ghodrati (Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology) ;
  • Bagheri, A. (Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology)
  • Received : 2008.02.11
  • Accepted : 2009.08.08
  • Published : 2009.09.30
⟨ Previous Next ⟩

Abstract

This paper is aimed at combining wavelet multiresolution analysis and nonstationary Kanai-Tajimi model for the simulation of earthquake accelerograms. The proposed approach decomposes earthquake accelerograms using wavelet multiresolution analysis for the simulation of earthquake accelerograms. This study is on the basis of some Iranian earthquake records, namely Naghan 1977, Tabas 1978, Manjil 1990 and Bam 2003. The obtained results indicate that the simulated records preserve the significant properties of the actual accelerograms. In order to investigate the efficiency of the model, the spectral response curves obtained from the simulated accelerograms have been compared with those from the actual records. The results revealed that there is a good agreement between the response spectra of simulated and actual records.

Keywords

References

  1. Benedetto, J.J. and Frazier, M.W. (1994), WAVELETS: Mathematics and Applications, Boca Raton: CRC Press.
  2. Chopra, A.K. (1995), Dynamics of Structures, Englewood Cliffs, NJ: Prentice-Hall.
  3. Daubechies, I. (1992), Ten Lectures on Wavelets, CBMS-NSF Conference Series in Applied Mathematics, Montpelier, Vermont.
  4. Fan, F.G. and Ahmadi, G. (1990), "Nonstationary Kanai-Tajimi models for El Centro 1940 and Mexico City 1985 earthquake", Prob. Eng. Mech., 5, 171-181. https://doi.org/10.1016/0266-8920(90)90018-F
  5. Ghodrati Amiri, G. and Bagheri, A. (2008), "Application of wavelet multiresolution analysis and artificial intelligence for generation of artificial earthquake accelerograms", Struct. Eng. Mech., 28(2), 153-166. https://doi.org/10.12989/sem.2008.28.2.153
  6. Ghodrati Amiri, G., Ashtari, P. and Rahami, H. (2006), "New development of artificial record generation by wavelet theory", Struct. Eng. Mech., 22(2), 185-195. https://doi.org/10.12989/sem.2006.22.2.185
  7. Ghodrati Amiri, G., Bagheri, A. and Fadavi, M. (2007), "New method for generation of artificial ground motion by a nonstationary Kanai-Tajimi model and wavelet transform", Struct. Eng. Mech., 26(6), 709-723. https://doi.org/10.12989/sem.2007.26.6.709
  8. Hancock, J., Waston-Lamprey, J., Abrahamson, N.A., Bommer, J.J., Markatis, A., Macoy, E. and Mendis, R. (2006), "An improved method of matching response spectra of recorded earthquake ground motion using wavelets", J. Earthq. Eng., 10(special issue 1), 67-89. https://doi.org/10.1142/S1363246906002736
  9. Iyama, J. and Kuwamura, H. (1999), "Application of wavelets to analysis and simulation of earthquake motions", Earthq. Eng. Struct. Dyn., 28, 255-272. https://doi.org/10.1002/(SICI)1096-9845(199903)28:3<255::AID-EQE815>3.0.CO;2-C
  10. Kanai, K. (1957), "Semi-empirical formula for the seismic characteristics of the ground motion", Bll. Erthq. Res. Inst. Univ. Tokyo, 35, 309-325.
  11. MATLAB Reference Guide (1999), The Math Works Inc.
  12. Mukherjee, S. and Gupta, K. (2002a), "Wavelet-based characterization of design ground motions", Earthq. Eng. Struct. Dyn., 31, 1173-1190. https://doi.org/10.1002/eqe.155
  13. Mukherjee, S. and Gupta, K. (2002b), "Wavelet-based generation of spectrum-compatible time-histories", Earthq. Eng. Struct. Dyn., 22, 799-804. https://doi.org/10.1016/S0267-7261(02)00101-X
  14. Newland, D.E. (1994), Random Vibrations, Spectral and Wavelet Analysis, 3rd Edition, Longman Singapore Publishers.
  15. Rajasekaran, S., Latha, V. and Lee, S.C. (2006), "Generation of artificial earthquake motion records using wavelets and principal component analysis", J. Earthq. Eng., 10(5), 665-691.
  16. Refooei, F.R., Mobarake, A. and Ahmadi, G. (2001), "Generation of artificial earthquake records with a nonstationary Kanai-Tajimi model", Eng. Struct., 23, 827-837. https://doi.org/10.1016/S0141-0296(00)00093-6
  17. Suarez, L.E. and Montejo, L.A. (2005), "Generation of artificial earthquake via the wavelet transform", Solids Struct., 42, 5905-5919. https://doi.org/10.1016/j.ijsolstr.2005.03.025
  18. Suarez, L.E. and Montejo, L.A. (2007), "Applications of the wavelet transform in the generation and analysis of spectrum-compatible records", Struct. Eng. Mech., 27(2), 185-198.
  19. Tajimi, H. (1960), "A statistical method of determining the maximum response of a building structure during an earthquake", In: Proc. 2nd WCEE, Vol. II. Tokyo: Science Council of Japan, 781-798.
  20. Zhou, Z. and Adeli, H. (2003), "Wavelet energy spectrum for time-frequency localization of earthquake energy", Computer-Aided Civil Infrastruct Eng., 13, 133-140.

Cited by

  1. GENERATION OF UNIFORM HAZARD EARTHQUAKE ACCELEROGRAMS AND NEAR-FIELD GROUND MOTIONS vol.06, pp.02, 2012, https://doi.org/10.1142/S1793431112500133
  2. SIMULATION OF EARTHQUAKE RECORDS BY MEANS OF EMPIRICAL MODE DECOMPOSITION AND HILBERT SPECTRAL ANALYSIS vol.08, pp.01, 2014, https://doi.org/10.1142/S179343111450002X
  3. Generation of Near-Field Artificial Ground Motions Compatible with Median-Predicted Spectra Using PSO-Based Neural Network and Wavelet Analysis vol.27, pp.9, 2012, https://doi.org/10.1111/j.1467-8667.2012.00783.x
  4. Practical coherency model suitable for near- and far-field earthquakes based on the effect of source-to-site distance on spatial variations in ground motions vol.73, pp.6, 2009, https://doi.org/10.12989/sem.2020.73.6.651