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Proceedings Paper

Structural damage identification using piezoelectric impedance and Bayesian inference
Author(s): Q. Shuai; K. Zhou; J. Tang
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Paper Abstract

Structural damage identification is a challenging subject in the structural health monitoring research. The piezoelectric impedance-based damage identification, which usually utilizes the matrix inverse-based optimization, may in theory identify the damage location and damage severity. However, the sensitivity matrix is oftentimes ill-conditioned in practice, since the number of unknowns may far exceed the useful measurements/inputs. In this research, a new method based on intelligent inference framework for damage identification is presented. Bayesian inference is used to directly predict damage location and severity using impedance measurement through forward prediction and comparison. Gaussian process is employed to enrich the forward analysis result, thereby reducing computational cost. Case study is carried out to illustrate the identification performance.

Paper Details

Date Published: 3 April 2015
PDF: 11 pages
Proc. SPIE 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015, 94351R (3 April 2015); doi: 10.1117/12.2084442
Show Author Affiliations
Q. Shuai, Univ. of Connecticut (United States)
K. Zhou, Univ. of Connecticut (United States)
J. Tang, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 9435:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015
Jerome P. Lynch, Editor(s)

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