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Proceedings Paper

Artificial nerve system for structural monitoring
Author(s): William N. Martin; Anindya Ghoshal; Mannur J. Sundaresan; Gary L. Lebby; Mark J. Schulz; Promod R. Pratap
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Paper Abstract

Recent structural health monitoring techniques have focused on developing global sensor systems that can detect damage on large structures. The approach presented here uses a piezoelectric sensor array system that mimics the biological nervous system architecture to measure acoustic emissions and dynamic strains in structures. The advantage of this approach is that the number of channels of data acquisition used for an N-by-N sensor array can be reduced from N2 to 2N. For large arrays the number of data acquisition channels is tremendously reduced. When transient damage events occur on the structure, the array output time histories can be recorded and the location of the excitation can be accurately determined using combinatorial logic. A trade-off is the difficulty of extracting individual sensor time histories from the array outputs without a neural network or a regressive technique. Only the sums of the sensor strains of each row and column can be exactly calculated using the voltage outputs of the array. The array approach allows efficient use of data acquisition instrumentation for structural health monitoring. Applications for the sensor array include crack and delamination detection, dynamic strain measurement, impact detection, and localization of damage on large complex structures.

Paper Details

Date Published: 11 June 2002
PDF: 14 pages
Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); doi: 10.1117/12.469909
Show Author Affiliations
William N. Martin, Naval Undersea Warfare Ctr. (United States)
Anindya Ghoshal, Arizona State Univ. (United States)
Mannur J. Sundaresan, North Carolina Agriculture and Technical State Univ. (United States)
Gary L. Lebby, North Carolina Agriculture and Technical State Univ. (United States)
Mark J. Schulz, Univ. of Cincinnati (United States)
Promod R. Pratap, Univ. of North Carolina at Greensboro (United States)


Published in SPIE Proceedings Vol. 4702:
Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems
Tribikram Kundu, Editor(s)

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