Reference : DETECTION AND LOCALISATION OF DAMAGE ON INDUSTRIALLY PRODUCED CONCRETE SLABS THROUGH ...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Civil engineering Engineering, computing & technology : Mechanical engineering
	To cite this reference:	http://hdl.handle.net/10993/3137

Title :	DETECTION AND LOCALISATION OF DAMAGE ON INDUSTRIALLY PRODUCED CONCRETE SLABS THROUGH TIME- AND FREQUENCY-DOMAIN APPROACHES
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 [University of Liege]
	Maas, Stefan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	Jun-2013
Main document title :	6th ECCOMAS Thematic Conference on Smart Structures and Materials (SMART2013), Torino 24-26 June 2013
Editor :	Carrera, E.
	Miglioretti, F
	Petrolo, M.
Peer reviewed :	No
On invitation :	No
Audience :	International
City :	Torino
Country :	Italy
Event name :	6th ECCOMAS Conference on Smart Structures and Materials
Event date :	24-26 June 2013
Event organizer :	Associazione Italiana di Aeronautica ed Astronautica AIDAA
Event place (city) :	Torino
Event country :	Italy
Keywords :	[en] identification ; damage detection ; localization
Abstract :	[en] The objective of this work is to address the problem of damage detection in civil engineering structures using non-destructive techniques and dynamic measurements. To this purpose, time- or frequency-domain methods are used for the diagnostics. It consists in practical output-only techniques as Stochastic Subspace Identification (SSI) for modal identification or Enhanced Principal Component Analysis (EPCA) for detecting the presence of damage. The use of the Hankel matrix instead of the observation matrix improves effectively the robustness of these methods. Damage localization is based on Frequency Response Functions (FRFs) and sensitivity analysis of PCA results. The efficiency of the above-mentioned methods has been demonstrated in earlier studies mainly on numerical examples and small-scale laboratory experiments. It was also tested successfully on industrial examples to perform machine condition monitoring using a reduced set of sensors. In this work, the investigation is performed on precast prestressed and non-prestressed concrete slabs. Successive damages were artificially introduced in the slabs by loading heavy weights and by cutting steel wires, which induced cracks in the structure. The examples show the consequences of the considered techniques for damage identification. The results that are very different between prestressed and non-prestressed slabs may be used as input for the condition control of this kind of structures.
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/3137

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