Generation of Response Spectrum Compatible Records Satisfying a Minimum Power Spectral Density Function

Luis A. Montejo

Earthquake Engineering and Resilience ›› 2025, Vol. 4 ›› Issue (2) : 215 -228.

PDF
Earthquake Engineering and Resilience ›› 2025, Vol. 4 ›› Issue (2) : 215 -228. DOI: 10.1002/eer2.70008
RESEARCH ARTICLE

Generation of Response Spectrum Compatible Records Satisfying a Minimum Power Spectral Density Function

Author information +
History +
PDF

Abstract

Spectrally matched records are commonly evaluated based on the tightness of the match of the record response spectrum (PSA) with the target design spectrum and the preservation of the seed motions essential features. When used for seismic design and assessment of nuclear facilities, the US Nuclear Regulatory Commission (NRC) also requires verifying that the motions exhibit an adequate power distribution along the frequencies of interest. This requirement is typically validated by comparison of the motion power spectral density (PSD) with a target PSD function. This article proposes an extension of the continuous wavelet transform based spectral matching methodology to develop spectrum compatible records that comply with a minimum power distribution prescribed by a target PSD function. It is shown that the proposed algorithm is capable of generating records that comply with both, the PSA and PSD requirements, while preserving most of the seed records nonstationary features. The article also presents recommendations for the selection of seed motions that increase the likelihood of a successful match.

Keywords

input motions / power spectral density / response spectrum matching / strong motion duration

Cite this article

Download citation ▾
Luis A. Montejo. Generation of Response Spectrum Compatible Records Satisfying a Minimum Power Spectral Density Function. Earthquake Engineering and Resilience, 2025, 4(2): 215-228 DOI:10.1002/eer2.70008

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

2025 Tianjin University and John Wiley & Sons Australia, Ltd.

AI Summary AI Mindmap
PDF

3

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/