Reference : Laboratory experiment for damage assessment using the DAD-method
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Civil engineering
http://hdl.handle.net/10993/32317
Laboratory experiment for damage assessment using the DAD-method
English
Erdenebat, Dolgion [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Waldmann, Danièle mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Teferle, Felix Norman [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Sep-2017
4th ed.
Conference proceedings SMAR 2017
Empa
Yes
International
Switzerland
Fourth Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures
from 13-09-2017 to 15-09-2017
Empa
Zurich
Switzerland
[en] In the following, a new analytical method, the Deformation Area Difference (DAD) method for damage assessment of bridge structures is applied using experimental test results of a statically loaded beam. An essential prerequisite for the application of this method is a high precise measurement of the deflection line. In this paper, the results from a laboratory experiment using modern measurement techniques such as photogrammetry and displacement sensors are discussed. A reinforced concrete beam is stepwise loaded until reaching the ultimate limit state. The DAD-method is applied to the resulting data from the measurements and the outcome is discussed for further optimisation of the method. In principle, the measured deflection line of the beam contains already essential information on discontinuities which occur due to cracking. These entries are processed and visualised using the DAD-method. This study shows that a high accuracy of the measurement techniques in combination with the DAD-method can become an effective tool for damage detection.
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http://hdl.handle.net/10993/32317
http://www.smar-conferences.org/smar/SMAR_2017_Proceedings/papers/51.pdf

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