Structural Engineering and Mechanics

  • 제26권6호
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  • Pages.709-723
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  • 2007
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

New method for generation of artificial ground motion by a nonstationary Kanai-Tajimi model and wavelet transform

  • Amiri, G. Ghodrati (Center of Excellence for Fundamental Studies in Structural Engineering, College of Civil Engineering, Iran University of Science & Technology) ;
  • Bagheri, A. (Center of Excellence for Fundamental Studies in Structural Engineering, College of Civil Engineering, Iran University of Science & Technology) ;
  • Fadavi, M. (Center of Excellence for Fundamental Studies in Structural Engineering, College of Civil Engineering, Iran University of Science & Technology)
  • 투고 : 2006.07.21
  • 심사 : 2007.03.22
  • 발행 : 2007.08.20
⟨ 이전 논문 다음 논문 ⟩

초록

Considering the vast usage of time-history dynamic analyses to calculate structural responses and lack of sufficient and suitable earthquake records, generation of artificial accelerograms is very necessary. The main target of this paper is to present a novel method based on nonstationary Kanai-Tajimi model and wavelet transform to generate more artificial earthquake records, which are compatible with target spectrum. In this regard, the generalized nonstationary Kanai-Tajimi model to include the nonstationary evaluation of amplitude and dominant frequency of ground motion and properties of wavelet transform is used to generate ground acceleration time history. Application of the method for El Centro 1940 earthquake and two Iranian earthquakes (Tabas 1978 and Manjil 1990) is presented. It is shown that the model and identification algorithms are able to accurately capture the nonstationary features of these earthquake accelerograms. The statistical characteristics of the spectral response of the generated accelerograms are compared with those for the actual records to demonstrate the effectiveness of the method. Also, for comparison of the presented method with other methods, the response spectra of the synthetic accelerograms compared with the models of Fan and Ahmadi (1990) and Rofooei et al. (2001) and it is shown that the response spectra of the synthetic accelerograms with the method of this paper are close to those of actual earthquakes.

키워드

참고문헌

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  2. GENERATION OF UNIFORM HAZARD EARTHQUAKE ACCELEROGRAMS AND NEAR-FIELD GROUND MOTIONS vol.06, pp.02, 2012, https://doi.org/10.1142/S1793431112500133
  3. Generation of Multiple Earthquake Accelerograms Compatible with Spectrum Via the Wavelet Packet Transform and Stochastic Neural Networks vol.13, pp.7, 2009, https://doi.org/10.1080/13632460802687728
  4. Incremental dynamic based fragility assessment of reinforced concrete structures: Stationary vs. non-stationary artificial ground motions vol.103, 2017, https://doi.org/10.1016/j.soildyn.2017.09.019
  5. Hybrid Evolutionary-Neural Network Approach in Generation of Artificial Accelerograms Using Principal Component Analysis and Wavelet-Packet Transform vol.15, pp.1, 2011, https://doi.org/10.1080/13632469.2010.517281
  6. 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
  7. Simulation of earthquake records using combination of wavelet analysis and non-stationary Kanai-Tajimi model vol.33, pp.2, 2007, https://doi.org/10.12989/sem.2009.33.2.179
  8. Application of neural networks and an adapted wavelet packet for generating artificial ground motion vol.37, pp.6, 2007, https://doi.org/10.12989/sem.2011.37.6.575
  9. Artificial Ground Motions and Nonlinear Response of RC Structures vol.2020, pp.None, 2007, https://doi.org/10.1155/2020/8849623
  10. Generation of critical aftershocks using stochastic neural networks and wavelet packet transform vol.26, pp.5, 2020, https://doi.org/10.1177/1077546319879536