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Proceedings Paper

Nonlinear feature identification of impedance-based structural health monitoring
Author(s): Amanda C. Rutherford; Gyuhae Park; Hoon Sohn; Charles R. Farrar
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Paper Abstract

The impedance-based structural health monitoring technique, which utilizes electromechanical coupling properties of piezoelectric materials, has shown feasibility for use in a variety of structural health monitoring applications. Relying on high frequency local excitations (typically>20 kHz), this technique is very sensitive to minor changes in structural integrity in the near field of piezoelectric sensors. Several damage sensitive features have been identified and used coupled with the impedance methods. Most of these methods are, however, limited to linearity assumptions of a structure. This paper presents the use of experimentally identified nonlinear features, combined with impedance methods, for structural health monitoring. Their applicability to for damage detection in various frequency ranges is demonstrated using actual impedance signals measured from a portal frame structure. The performance of the nonlinear feature is compared with those of conventional impedance methods. This paper reinforces the utility of nonlinear features in structural health monitoring and suggests that their varying sensitivity in different frequency ranges may be leveraged for certain applications.

Paper Details

Date Published: 26 July 2004
PDF: 11 pages
Proc. SPIE 5390, Smart Structures and Materials 2004: Smart Structures and Integrated Systems, (26 July 2004); doi: 10.1117/12.540106
Show Author Affiliations
Amanda C. Rutherford, Los Alamos National Lab. (United States)
Gyuhae Park, Los Alamos National Lab. (United States)
Hoon Sohn, Los Alamos National Lab. (United States)
Charles R. Farrar, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 5390:
Smart Structures and Materials 2004: Smart Structures and Integrated Systems
Alison B. Flatau, Editor(s)

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