Reference : Damage Detection on the Champangshiehl Bridge using Blind Source Separation
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Civil engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/134359
Damage Detection on the Champangshiehl Bridge using Blind Source Separation
English
Nguyen, Viet Ha mailto [Université de Liège - ULg > Aérospatiale et Mécanique > LTAS - Vibrations et Identification des Structures > >]
Rutten, Christophe mailto [V2i sa > > > >]
Golinval, Jean-Claude mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
Mahowald, Jean mailto [Université du Luxembourg > Applied Mechanics and Energy Efficiency > > >]
Maas, Stefan mailto [Université du Luxembourg > Applied Mechanics and Energy Efficiency > > >]
Waldmann, Danièle mailto [Université du Luxembourg > > > >]
2012
Life-Cycle and Sustainability of Civil Infrastructure Systems
Strauss, Alfred
Frangopol, Dan M.
Bergmeister, Konrad
Taylor & Francis Group
Yes
No
International
978-0-415-62126-7
London
3rd International Symposium on Life-Cycle Civil Engineering (IALCCE 2012)
du 3 au 6 octobre 2012
University of Natural Resources and Life Sciences - Institute for Structural Engineering (IKI)
Vienna Hofburg Palace
Austria
[en] Damage detection ; Principal component analysis ; Blind Source Separation Techniques
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/134359

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