Proceedings Paper
Detection of impacts in composite materials using piezoceramic sensors and neural networks| Format | Member Price | Non-Member Price |
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Paper Abstract
The problem of detecting impacts in composite panels before and after damage is addressed in this paper. The data is taken from a simple impact experiment in which piezoceramic sensors are used to collect the impulse strain response. The data are subsequently analyzed using neural networks to predict the impact location and energy on the basis of features extracted by various pre-processing algorithms. One of the main aims of the paper is to establish if the impact location and quantification results are affected by damage to the structure.
Paper Details
Date Published: 27 July 1998
PDF: 7 pages
Proc. SPIE 3329, Smart Structures and Materials 1998: Smart Structures and Integrated Systems, (27 July 1998); doi: 10.1117/12.316918
Published in SPIE Proceedings Vol. 3329:
Smart Structures and Materials 1998: Smart Structures and Integrated Systems
Mark E. Regelbrugge, Editor(s)
PDF: 7 pages
Proc. SPIE 3329, Smart Structures and Materials 1998: Smart Structures and Integrated Systems, (27 July 1998); doi: 10.1117/12.316918
Show Author Affiliations
M. A. Maseras-Gutierrez, Univ. of Sheffield (United Kingdom)
Wieslaw J. Staszewski, Univ. of Sheffield (United Kingdom)
Wieslaw J. Staszewski, Univ. of Sheffield (United Kingdom)
Mike S. Found, Univ. of Sheffield (United Kingdom)
Keith Worden, Univ. of Sheffield (United Kingdom)
Keith Worden, Univ. of Sheffield (United Kingdom)
Published in SPIE Proceedings Vol. 3329:
Smart Structures and Materials 1998: Smart Structures and Integrated Systems
Mark E. Regelbrugge, Editor(s)
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