Behavior identification of distinct neighborhoods in large structures using neural networks

Xiaoyun Fu; James P. Bartlett

doi:10.1117/12.420865

21 March 2001 Behavior identification of distinct neighborhoods in large structures using neural networks

Xiaoyun Fu, James P. Bartlett

Proceedings Volume 4235, Smart Structures and Devices; (2001) https://doi.org/10.1117/12.420865
Event: Smart Materials and MEMS, 2000, Melbourne, Australia

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.

Citation Download Citation

Xiaoyun Fu and James P. Bartlett "Behavior identification of distinct neighborhoods in large structures using neural networks", Proc. SPIE 4235, Smart Structures and Devices, (21 March 2001); https://doi.org/10.1117/12.420865

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