Abstract

The damage early warning of bridges is a mandatory issue if we want to guarantee the safety of transport lines.
In principle, bridges should show a non-linear damaged phase which has enough remaining capacity to avoid
brittle collapse, while permitting the identification of the decrease in stiffness, and therefore the warning about
the efficiency of the structure (Farrar & Warden 2006).
It is however to point out that the change detection of the bridge dynamic properties is a very complicated task,
due to the variable environmental and loading conditions, and the small entity of change that by far severe
damages produce (Magalhães et Al., .2012).
In the paper the preliminary results of a two year long European project, granted by the Infravation Call, are
presented. In this period, a consistent number of bridges all around the world have been monitored, and some
specimen bridges thoroughly investigated in laboratory (see for instance the project description at the site
http://www.infravation.net/projects/SHAPE).
The performed investigation has shown that the continuous monitoring of bridges can be transformed in a sort of
bridge behaviour intrinsic model which fixes the range of normal operation of the bridge itself. By this way,
outliers can be identified, but a very important issue is the evaluation of the extent of the change that can start the
warning activity.
Among the possible strategies, it is shown that algorithms that evaluate the derivative of the change can be
effective in pointing out the onset of a permanent damage (Nikowski & Jain, 2009).


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.5281/zenodo.1485409 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
http://dx.doi.org/10.5281/zenodo.1485410 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode


DOIS: 10.5281/zenodo.1485410 10.5281/zenodo.1485409

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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5281/zenodo.1485410
Licence: Other

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