|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
|Damage Detection on the Champangshiehl Bridge using Blind Source Separation|
|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 > > > >]|
|Life-Cycle and Sustainability of Civil Infrastructure Systems|
|Frangopol, Dan M.|
|Taylor & Francis Group|
|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|
|[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|
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