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Proceedings Paper

Application of statistical pattern classification methods for damage detection to field data
Author(s): Carlos Cabrera; Allen Cheung; Pooya Sarabandi; K. Krishnan Nair; Anne Kiremidjian
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Paper Abstract

The field of Structural Health Monitoring (SHM) has received considerable attention for its potential applications to monitoring civil infrastructure. However, the damage detection algorithms that form the backbone of these systems have primarily been tested on simulated data instead of full-scale structures because of the scarcity of real structural acceleration data. In response to this deficiency in testing, we present the performance of two damage detection algorithms used with ambient acceleration data collected during the staged demolition of the fullscale Z24 Bridge in Switzerland. The algorithms use autoregressive coefficients as features of the acceleration data and hypothesis testing and Gaussian Mixture Modeling to detect and quantify damage. While experimental or numerically simulated data have provided consistently positive results, field data from real structures, the Z24 Bridge, show that there can be significant false positives in the predictions. Difficulties with data collection in the field are also revealed pointing to the need for careful signal conditioning prior to algorithm application.

Paper Details

Date Published: 26 April 2007
PDF: 17 pages
Proc. SPIE 6531, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007, 65310M (26 April 2007); doi: 10.1117/12.715325
Show Author Affiliations
Carlos Cabrera, Sensametrics, Inc. (United States)
Stanford Univ. (United States)
Allen Cheung, Sensametrics, Inc. (United States)
Stanford Univ. (United States)
Pooya Sarabandi, Sensametrics Inc. (United States)
Stanford Univ. (United States)
K. Krishnan Nair, Stanford Univ. (United States)
Anne Kiremidjian, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 6531:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007
H. Felix Wu; Aaron A. Diaz; Peter J. Shull, Editor(s)

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