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dc.contributor.author
Avendaño-Valencia, Luis David
dc.contributor.author
Chatzi, Eleni
dc.contributor.author
Koo, Ki Young
dc.contributor.author
Brownjohn, James M. W.
dc.date.accessioned
2018-02-20T15:57:28Z
dc.date.available
2018-01-31T10:48:16Z
dc.date.available
2018-02-19T09:27:22Z
dc.date.available
2018-02-20T15:57:28Z
dc.date.available
2018-01-31T10:07:13Z
dc.date.available
2018-01-31T10:31:22Z
dc.date.available
2018-02-20T15:56:45Z
dc.date.issued
2017-12-08
dc.identifier.issn
2297-3362
dc.identifier.other
10.3389/fbuil.2017.00069
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/243071
dc.identifier.doi
10.3929/ethz-b-000237591
dc.description.abstract
A wide range of vibrating structures are characterized by variable structural dynamics resulting from changes in environmental and operational conditions, posing challenges in their identification and associated condition assessment. To tackle this issue, the present contribution introduces a stochastic modeling methodology via Gaussian Process (GP) time-series models. In the presently introduced approach, the vibration response is represented by means of a random coefficient time-series model, whose coefficients comply with a GP regression on the environmental and operational parameters. The approach may be implemented in conjunction to any type of linear-in-the-parameters time-series model, ranging from simple AR models to more complex non-linear or non-stationary time-series models. The obtained GP time-series modeling approach provides an effective and compact global representation of the vibrational response of a structure under a wide span of environmental and operational conditions. The effectiveness of the postulated GP time-series models is demonstrated through two case studies: the first involves the identification of the vertical vibration response of the Humber bridge, evaluated over a period of three years; the second considers the long-term simulated vibration response of a wind turbine featuring non-stationary dynamics stemming from the rotor speed. In both cases, the variation of the average wind speed is the main driver of uncertainty, while, through application of the proposed GP time-series models, it is possible to track the resulting variation in modal quantities.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Media SA
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Structural Health Monitoring
en_US
dc.subject
Gaussian Process Time-Series Models
en_US
dc.title
Gaussian Process Time-Series Models for Structures under Operational Variability
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Frontiers in Built Environment
ethz.journal.volume
3
en_US
ethz.journal.abbreviated
Front. Built Environ.
ethz.pages.start
69
en_US
ethz.size
19 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
ETH Zurich Postdoctoral Fellowship Program II
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
en_US
ethz.grant.agreementno
608881
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
FP7
ethz.date.deposited
2018-01-31T10:07:14Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-02-22T07:04:29Z
ethz.rosetta.lastUpdated
2022-03-28T19:15:15Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/237552
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/237591
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/237583
ethz.COinS
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