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Proceedings Paper

Behavior identification of distinct neighborhoods in large structures using neural networks
Author(s): Xiaoyun Fu; James P. Bartlett
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Paper Abstract

This paper presents a new method to identify the vibration model for large smart structures. A large structure typically has low frequency vibrations, unique distributed dynamic characteristics, and no simple control model. Study of composite aircraft fuselage vibration suppression required the identification of a distributed parameter control method. Artificial neural networks were used to identify structural vibration characteristics in distinct neighborhoods. Neural networks were trained and compared using a plate model.

Paper Details

Date Published: 21 March 2001
PDF: 6 pages
Proc. SPIE 4235, Smart Structures and Devices, (21 March 2001); doi: 10.1117/12.420865
Show Author Affiliations
Xiaoyun Fu, North Dakota State Univ. (United States)
James P. Bartlett, North Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 4235:
Smart Structures and Devices
Dinesh K. Sood; Ronald Albert Lawes; Vasundara V. Varadan, Editor(s)

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