Share Email Print

Proceedings Paper

Behavior identification of distinct neighborhoods in large structures using neural networks
Author(s): Xiaoyun Fu; James P. Bartlett
Format Member Price Non-Member Price
PDF $17.00 $21.00

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)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?