City Research Online

Numerical treatment of seismic accelerograms and of inelastic seismic structural responses using harmonic wavelets

Spanos, P. D., Giaralis, A., Politis, N. P. and Roesset, J. M. (2007). Numerical treatment of seismic accelerograms and of inelastic seismic structural responses using harmonic wavelets. Computer-aided civil and infrastructure design, 22(4), pp. 254-264. doi: 10.1111/j.1467-8667.2007.00483.x

Abstract

The harmonic wavelet transform is employed to analyze various kinds of nonstationary signals common in aseismic design. The effectiveness of the harmonic wavelets for capturing the temporal evolution of the frequency content of strong ground motions is demonstrated. In this regard, a detailed study of important earthquake accelerograms is undertaken and smooth joint time-frequency spectra are provided for two near-field and two far-field records; inherent in this analysis is the concept of the mean instantaneous frequency. Furthermore, as a paradigm of usefulness for aseismic structural purposes, a similar analysis is conducted for the response of a 20-story steel frame benchmark building considering one of the four accelerograms scaled by appropriate factors as the excitation to simulate undamaged and severely damaged conditions for the structure. The resulting joint time-frequency representation of the response time histories captures the influence of nonlinearity on the variation of the effective natural frequencies of a structural system during the evolution of a seismic event. In this context, the potential of the harmonic wavelet transform as a detection tool for global structural damage is explored in conjunction with the concept of monitoring the mean instantaneous frequency of records of critical structural responses.

Publication Type: Article
Publisher Keywords: INSTANTANEOUS FREQUENCY, DAMAGE DETECTION, VIBRATION, SIGNAL, IDENTIFICATION, SPECTRUM
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Engineering
URI: http://openaccess.city.ac.uk/id/eprint/924
[img]
Preview
PDF
Download (1MB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login