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dc.contributor.author
Chatzi, Eleni
dc.contributor.author
Spiridonakos, Minas D.
dc.contributor.editor
Feltrin, Glauco
dc.date.accessioned
2019-10-07T05:46:13Z
dc.date.available
2019-10-07T05:46:13Z
dc.date.issued
2015-10-19
dc.identifier.isbn
978-1-5108-1457-8
en_US
dc.identifier.issn
2261-236X
dc.identifier.other
10.1051/matecconf/20152401003
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/368560
dc.identifier.doi
10.3929/ethz-b-000112567
dc.description.abstract
The goal of the present study is to propose a structural identification framework able to exploit both vibrational response and operational condition information in extracting structural models, able to represent the systemspecific structural behavior in its complete operational spectrum. In doing so, a scheme need be derived for the extraction of salient features, which are indicative of structural condition. Such a scheme should account for variations attributed to operational effects, such as environmental and operational load variations, and which likely lie within regular structural condition bounds, versus variations which indicate short- or long-term damage effects. The latter may be achieved via coupling of sparse, yet diverse, monitoring information with appropriate stochastic tools, able to infer the underlying dependences between the monitored input and output data. This in turn allows for extraction of quantities, or features, relating to structural condition, which may further be utilized as performance indicators. The computational tool developed herein for realizing such a framework, termed the PCE-ICA scheme, is based on the use of Polynomial Chaos Expansion (PCE) tool, along with an Independent Component Analysis (ICA) algorithm. The benefits of additionally fusing a data-driven system model will further be discussed for the case of complex structural response. The method is assessed via implementation on field data acquired from diverse structural systems, namely a benchmark bridge case study and a wind turbine tower structure, revealing a robust condition assessment tool.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
EDP Sciences
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Structural Identification and Monitoring based on Uncertain/Limited Information
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.book.title
6th International Conference on Experimental Vibration Analysis for Civil Engineering Structures
en_US
ethz.journal.title
MATEC Web of Conferences
ethz.journal.volume
24
en_US
ethz.pages.start
01003
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
6th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES' 15)
en_US
ethz.event.location
Dübendorf, Switzerland
en_US
ethz.event.date
October 19-21, 2015
en_US
ethz.identifier.wos
ethz.publication.place
Les Ulis
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03890 - Chatzi, Eleni / Chatzi, Eleni
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03890 - Chatzi, Eleni / Chatzi, Eleni
ethz.date.deposited
2019-10-07T05:46:19Z
ethz.source
ECIT
ethz.identifier.importid
imp593654162995826816
ethz.identifier.importid
imp593654459b68056078
ethz.ecitpid
pub:174142
ethz.ecitpid
pub:176576
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-10-07T05:46:27Z
ethz.rosetta.lastUpdated
2021-02-15T06:07:28Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/112567
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/114772
ethz.COinS
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