Quantification of sensor geometry performance for guided wave SHM

Anthony J. Croxford; Paul D. Wilcox; Bruce W. Drinkwater

doi:10.1117/12.815728

8 April 2009 Quantification of sensor geometry performance for guided wave SHM

Anthony J. Croxford, Paul D. Wilcox, Bruce W. Drinkwater

Proceedings Volume 7295, Health Monitoring of Structural and Biological Systems 2009; 72951H (2009) https://doi.org/10.1117/12.815728
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

It has been shown that guided waves can be used with sparse arrays of permanently attached sensors to detect the presence of damage in structures. When applied with temperature compensation strategies complex structures can be inspected over time and in the presence of varying conditions. Current analysis suggests a series of relationships for individual sensor pairs but is difficult to expand to predict the signal to noise performance of a real world large network of sensors. The result of this is that it is unclear as to what is the best sensor layout to detect damage. This paper quantitatively and qualitatively investigates the performance of different sensor geometries to determine the signal to noise ratio of different configurations. It is shown that using more than two sensors not only offers the ability to localize damage but also produces enhanced signal to noise ratio over a single pair of transducers. It is shown that there is no single optimum sensor layout, with the optimum layout dependant on the type of damage that is to be detected. However a network of squares or hexagons offers excellent performance.

Citation Download Citation

Anthony J. Croxford, Paul D. Wilcox, and Bruce W. Drinkwater "Quantification of sensor geometry performance for guided wave SHM", Proc. SPIE 7295, Health Monitoring of Structural and Biological Systems 2009, 72951H (8 April 2009); https://doi.org/10.1117/12.815728

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available