ORBi: Nguyen Viet Ha - Damage Detection on the Champangshiehl Bridge using Blind Source Separation

Reference : Damage Detection on the Champangshiehl Bridge using Blind Source Separation


	Document type :	Scientific congresses and symposiums : 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/2268/134359

Title :	Damage Detection on the Champangshiehl Bridge using Blind Source Separation
Language :	English
Author, co-author :	Nguyen, Viet Ha [Université de Liège - ULg > Aérospatiale et Mécanique > LTAS - Vibrations et Identification des Structures > >]
	Rutten, Christophe [V2i sa > > > >]
	Golinval, Jean-Claude [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
	Mahowald, Jean [Université du Luxembourg > Applied Mechanics and Energy Efficiency > > >]
	Maas, Stefan [Université du Luxembourg > Applied Mechanics and Energy Efficiency > > >]
	Waldmann, Danièle [Université du Luxembourg > > > >]
Publication date :	2012
Main document title :	Life-Cycle and Sustainability of Civil Infrastructure Systems
Editor :	Strauss, Alfred
	Frangopol, Dan M.
	Bergmeister, Konrad
Publisher :	Taylor & Francis Group
On invitation :	No
Audience :	International
ISBN :	978-0-415-62126-7
City :	London
Event name :	3rd International Symposium on Life-Cycle Civil Engineering (IALCCE 2012)
Event date :	du 3 au 6 octobre 2012
Event organizer :	University of Natural Resources and Life Sciences - Institute for Structural Engineering (IKI)
Event place (city) :	Vienna Hofburg Palace
Event country :	Austria
Keywords :	[en] Damage detection ; Principal component analysis ; Blind Source Separation Techniques
Abstract :	[en] This paper addresses the problem of damage detection in civil engineering structures using characteristic subspaces obtained from principal component analysis (PCA) of output-only measurements. Damage detection is performed by comparing subspace features between a reference (healthy) state and a current (possibly damaged) state. The damage indicator used in this study is the angular coherence between sub-spaces. The considered damage detection procedure is illustrated on the Champangshiehl Bridge which is a two span concrete box girder bridge located in Luxembourg. Before its destruction, multiple damage levels were inten-tionally created by cutting a growing number of prestressed tendons. Vibration data were acquired by the University of Luxembourg for each damaged state at many locations on the bridge. As previous studies dem-onstrated the large importance of environmental factors on modal identification, special care was taken to evaluate this influence during the test campaign.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/134359

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