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Comparison of different statistical approaches for removal of environmental/operational effects on modal properties and damage detection

  • The implementation of a continuous dynamic monitoring System in Pedro e Ines footbridge at Coimbra, Portugal, operating since June 2007, enabled to detect different environmental/operational effects on the modal properties, based on appropriate processing of monitoring data collected by a set of accelerometers and thermal sensors. In order to remove or mitigate such environmental/operational effects with the purpose of damage detection, two different Statistical methods have been adopted, One of them consists in the multiple linear regression (MLR) by performing correlation analysis between measured modal properties and environmental/operational variables. Another is based on the identification of the linear subspace within the modal properties by applying principal component regression (PCR) without using measured values of environmental and operational variables. This paper presents a comparison ofthe performance of these two alternative approaches on the basis of continuousThe implementation of a continuous dynamic monitoring System in Pedro e Ines footbridge at Coimbra, Portugal, operating since June 2007, enabled to detect different environmental/operational effects on the modal properties, based on appropriate processing of monitoring data collected by a set of accelerometers and thermal sensors. In order to remove or mitigate such environmental/operational effects with the purpose of damage detection, two different Statistical methods have been adopted, One of them consists in the multiple linear regression (MLR) by performing correlation analysis between measured modal properties and environmental/operational variables. Another is based on the identification of the linear subspace within the modal properties by applying principal component regression (PCR) without using measured values of environmental and operational variables. This paper presents a comparison ofthe performance of these two alternative approaches on the basis of continuous monitoring data acquired front the instrumented Pedro e Ines footbridge.zeige mehrzeige weniger

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Metadaten
Autoren/innen:Wei-Hua Hu, E. Caetano, A. Cunha, Werner Rücker
Persönliche Herausgeber/innen:E. Carrera, F. Miglioretti, M. Petrolo
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Graue Literatur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):SMART2013 - 6th ECCOMAS conference on smart structures and materials
Jahr der Erstveröffentlichung:2013
Organisationseinheit der BAM:7 Bauwerkssicherheit
7 Bauwerkssicherheit / 7.2 Ingenieurbau
Erste Seite:1
Letzte Seite:13
Freie Schlagwörter:Damage detection; Environmental/operational effects; Multiple linear regression; Principal component regression; Structural health monitoring
Veranstaltung:SMART2013 - 6th ECCOMAS conference on smart structures and materials
Veranstaltungsort:Turin, Italy
Beginndatum der Veranstaltung:24.06.2013
Enddatum der Veranstaltung:26.06.2013
Verfügbarkeit des Volltexts:Volltext-PDF im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:20.02.2016
Referierte Publikation:Ja
Datum der Eintragung als referierte Publikation:13.04.2015