Share Email Print
cover

Proceedings Paper

Impact location, energy, and damage detection in a smart structure
Author(s): Shiv P. Joshi; Nasir I. Munir
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A sensor at a fixed location in a complex structure records a complicated but unique wave pattern containing information about impact location, imparted energy and any damage created by an impact event. An intelligently designed hybrid neural network system is capable of extracting this information from the sensory signal. Such a system based on a generalized regression neural network (GRNN) is described for the purpose of impact location, energy, and damage detection. A Northrop Grumman test article is utilized to demonstrate capabilities of the system. The system performance evaluation based on the preliminary experiments is very encouraging. Further experimental evaluations of the system are planned and are described in this manuscript.

Paper Details

Date Published: 30 May 1996
PDF: 9 pages
Proc. SPIE 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation, (30 May 1996); doi: 10.1117/12.240860
Show Author Affiliations
Shiv P. Joshi, Univ. of Texas/Arlington (United States)
Nasir I. Munir, Northrop Grumman Corp. (United States)


Published in SPIE Proceedings Vol. 2718:
Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation
Kent A. Murphy; Dryver R. Huston, Editor(s)

© SPIE. Terms of Use
Back to Top