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Proceedings Paper

Experimental damage localization in a full-scale 7 story benchmark building under seismic excitation
Author(s): C. Iacovino; R. Ditommaso; M. P. Limongelli; F. C. Ponzo
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Paper Abstract

In this paper two methods of damage localization previously proposed by the authors are combined to smooth the possible drawbacks and boost the advantages each of them. The Modal Interpolation Method (IM), recently proposed, is based on a damage feature defined in terms of the loss of smoothness (that is local increases of curvature) of the modal shapes induced by a local reduction of stiffness. Herein the combination of the IM with the Curvature Evolution Methods (CEM) is proposed. The CEM is based on the use of a Band-Variable Filter able to extract from recorded responses the nonlinear response of one mode of vibration enabling the detection of possible changes of a properly defined damage feature, during a single earthquake. In the CEM the modal curvature is assumed as damage feature. The combination of the two methods CEM and IM is carried out using the Band-Variable Filter to extract the nonlinear response of the structure and assuming as a damage feature the variation of the interpolation error computed at different times during the strong motion.

The validation of the combined approach, named Interpolation Evolution Method (IEM), is carried out on a full scale experimental benchmark tested on the UCSD-NEES shake table.

Paper Details

Date Published: 19 April 2017
PDF: 10 pages
Proc. SPIE 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017, 101691B (19 April 2017); doi: 10.1117/12.2257914
Show Author Affiliations
C. Iacovino, Univ. degli Studi della Basilicata (Italy)
R. Ditommaso, Univ. degli Studi della Basilicata (Italy)
M. P. Limongelli, Politecnico di Milano (Italy)
F. C. Ponzo, Univ. degli Studi della Basilicata (Italy)

Published in SPIE Proceedings Vol. 10169:
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017
H. Felix Wu; Andrew L. Gyekenyesi; Peter J. Shull; Tzu-Yang Yu, Editor(s)

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