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Proceedings Paper

Optimization of monitoring parameters of a space tubular structure by using genetic algorithms
Author(s): Jose R. V. Moura; Valder Steffen; Daniel J. Inman
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Paper Abstract

In the last few years both the fundamentals and the materials have significantly changed in the design of engineering structures. In space structures, for example, metallic components have been intensely replaced by composite and fiber made ones to reduce weight and increase transportation and assembling skills. Impedance-based Structural Health Monitoring is a major concern in this context because different types and categories of damage can affect various areas along the structure. The interpretation of damage signatures is an important challenge to be overcome. As a consequence, erroneous damage identification is quite common. This contribution focus on damage prediction in a tubular space structure by using a methodology that is able to reduce the possibility of misinterpretation in the monitoring procedure. For this aim, an optimization technique using genetic algorithms is applied to the complete damage signature to determine the best frequency range to be investigated in each problem. Then, a meta-model is built to characterize damage in the structure.

Paper Details

Date Published: 3 April 2008
PDF: 9 pages
Proc. SPIE 6926, Modeling, Signal Processing, and Control for Smart Structures 2008, 692613 (3 April 2008); doi: 10.1117/12.776760
Show Author Affiliations
Jose R. V. Moura, Federal Univ. of Uberlandia (Brazil)
Valder Steffen, Federal Univ. of Uberlandia (Brazil)
Daniel J. Inman, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 6926:
Modeling, Signal Processing, and Control for Smart Structures 2008
Douglas K. Lindner, Editor(s)

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