Reference : Proceedings of IMAC XXXII Dynamics of Coupled Structures

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Civil engineering
	To cite this reference:	http://hdl.handle.net/10993/17886

Title :	Proceedings of IMAC XXXII Dynamics of Coupled Structures
Language :	English
Author, co-author :	Nguyen, Viet Ha [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Mahowald, Jean [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Golinval, Jean-Claude [> >]
	Maas, Stefan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	Feb-2014
Main document title :	Damage Detection in Civil Engineering Structure Considering Temperature Effect
Editor :	Firkret, Necati Catbas
Publisher :	Springer International Publishing
Pages :	187-196
Peer reviewed :	No
On invitation :	No
Audience :	International
ISBN :	978-3-319-04545-0
Event name :	International Modal Analysis Conference IMAC XXXII Dynamics of Coupled Structures
Event date :	from 3-2-2014 to 6-2-2014
Event organizer :	Society of Experimental Mechanics, Inc
Event place (city) :	Orlando
Event country :	USA
Keywords :	[en] temperature effect ; damage, identification ; detection, statistics
Abstract :	[en] This paper concerns damage identification of a bridge located in Luxembourg. Vibration responses were captured from measurable and adjustable harmonic swept sine excitation and hammer impact. Different analysis methods were applied to the data measured from the structure showing interesting results. However, some difficulties arise, especially due to environmental influences (temperature and soil-behaviour variations) which overlay the structural changes caused by damage. These environmental effects are investigated in detail in this work. First, the modal parameters are identified from the response data. In the next step, they are statistically collected and processed through Principal Component Analysis (PCA) and Kernel PCA. Damage indexes are based on outlier analysis.
Permalink :	http://hdl.handle.net/10993/17886
DOI :	10.1007/978-3-319-04546-7_22

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