Skip navigation

Modal identification of seismically isolated bridges with piers having different heights

Modal identification of seismically isolated bridges with piers having different heights

Kampas, Georgios and Makris, Nicos (2016) Modal identification of seismically isolated bridges with piers having different heights. International Journal of Sustainable Materials and Structural Systems, 2 (1/2). pp. 113-133. ISSN 2043-8621 (doi:https://doi.org/10.1504/IJSMSS.2015.078332)

[img]
Preview
PDF (Author Accepted Manuscript)
19467 KAMPAS_Modal_Identification_of_Seismically_Isolated_Bridges_2016.pdf - Accepted Version

Download (2MB) | Preview

Abstract

This paper investigates the modal identification of seismically isolated bridges when the localized nonlinear behavior from the isolation bearing initiates at different times due to the uneven height of the bridge piers. More specifically, a three-span bridge supported on spherical sliding bearings is examined. Three different states of the same system with different natural periods emerge during an excitation; the linear system (LS), the partially isolated system (PIS) and the fully isolated system (FIS). Firstly, the paper identifies the time intervals that each state performs by using acceleration data. Subsequently, modal identification techniques such as the Prediction Error Method and a time-frequency wavelet analysis are applied on each interval. The LS’ results are dependable compared to the PIS which is a mildly nonlinear system. The results corresponding to the FIS suggest that it is preferable to apply the modal identification techniques on each interval independently, rather than on the entire response signal.

Item Type: Article
Uncontrolled Keywords: Seismic Isolation; Modal Identification; Dynamic Response; Bilinear Behavior; Time-Frequency Analysis; Bridge; Earthquake Engineering; Prediction Error Method; Structural Health Monitoring Seismic Isolation; Modal Identification; Dynamic Response; Bilinear Behavior; Time-Frequency Analysis; Bridge; Earthquake Engineering; Prediction Error Method; Structural Health Monitoring
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 16 May 2019 14:07
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT c
Selected for GREAT 2019: GREAT 6
URI: http://gala.gre.ac.uk/id/eprint/19467

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics