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Modal identification of freeway overcrossings with soil-structure interaction: A case study

Modal identification of freeway overcrossings with soil-structure interaction: A case study

Kampas, Georgios and Makris, Nicos (2011) Modal identification of freeway overcrossings with soil-structure interaction: A case study. Structural Control and Health Monitoring, 20 (3). pp. 304-319. ISSN 1545-2255 (Print), 1545-2263 (Online) (doi:https://doi.org/10.1002/stc.494)

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Abstract

This paper is concerned with a widely studied problem–that of the identification of the modal characteristics of freeway overcrossings and other bridges that their response is interacting with their approaching embankments and their foundation. The study implements a sophisticated parameter estimation method known as the Prediction Error Method and examines in detail the sensitivity of the modal characteristics (frequency and damping) of the bridge when the input signals are taken (a) at the free field, (b) at the approaching embankments and pile caps and (c) on the abutments and the pile caps. The findings of this case study on the Meloland Road Overcrossing with the Prediction Error Method are compared with the results from past system identification studies and the results from finite-element analyses which examined in depth the contribution of the approaching embankments in the bridge response. The study concludes that despite the appreciable energy dissipation capability of the approaching embankments the concrete bridge structure while interacting mechanically with the embankments its transverse modal damping remains small.

Item Type: Article
Uncontrolled Keywords: structural identification; bridges; embankments; damping; earthquake engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Centre for Innovative & Smart Infrastructure
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 28 Mar 2018 10:36
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19471

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