000004754 001__ 4754
000004754 005__ 20141119144550.0
000004754 04107 $$aeng
000004754 046__ $$k2002-06-02
000004754 100__ $$aYuen, Ka-Veng
000004754 24500 $$aDAMAGE DETECTION OF STRUCTURAL SYSTEMS WITH NOISY INCOMPLETE INPUT AND RESPONSE MEASUREMENTS

000004754 24630 $$n15.$$pProceedings of the 15th ASCE Engineering Mechanics Division Conference
000004754 260__ $$bColumbia University in the City of New York
000004754 506__ $$arestricted
000004754 520__ $$2eng$$aA probabilistic approach for damage detection is presented using noisy incomplete input and response measurements that is an extension of a Bayesian system identification approach developed by the authors. This situation may be encountered, for example, during low-level ambient vibrations when a structure is instrumented with accelerometers that measure the input ground motion and structural response at a few locations but the wind excitation is not measured. A substructuring approach is used for the parameterization of the mass and stiffness distributions. Damage is defined to be a reduction of the substructure stiffness parameters compared with those of the undamaged structure. By using the proposed probabilistic methodology, the probability of various damage levels in each substructure can be calculated based on the available data. A four-story benchmark building subjected to wind and ground shaking is considered in order to demonstrate the proposed approach.

000004754 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004754 653__ $$a

000004754 7112_ $$a15th ASCE Engineering Mechanics Division Conference$$cNew York (US)$$d2002-06-02 / 2002-06-05$$gEM2002
000004754 720__ $$aYuen, Ka-Veng$$iBeck, James L.$$iKatafygiotis, Lambros S.
000004754 8560_ $$ffischerc@itam.cas.cz
000004754 8564_ $$s150884$$uhttps://invenio.itam.cas.cz/record/4754/files/281.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004754 962__ $$r4594
000004754 980__ $$aPAPER