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Proceedings Paper

Computational studies of a strain-based deformation shape prediction algorithm for control and monitoring applications
Author(s): Armen Derkevorkian; Jessica Alvarenga; Sami F. Masri; Helen Boussalis; W. Lance Richards
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Paper Abstract

A modal approach is investigated for real-time deformation shape prediction of lightweight unmanned flying aerospace structures, for the purposes of Structural Health Monitoring (SHM) and condition assessment. The deformation prediction algorithm depends on the modal properties of the structure and uses high-resolution fiber-optic sensors to obtain strain data from a representative aerospace structure (e.g., flying wing) in order to predict the associated real-time deflection shape. The method is based on the use of fiber-optic sensors such as optical Fiber Bragg Gratings (FBGs) which are known for their accuracy and light weight. In this study, the modal method is examined through computational models involving Finite-Element Analysis (FEA). Furthermore, sensitivity analyses are performed to investigate the effects of several external factors such as sensor locations and noise pollution on the performance of the algorithm. This work analyzes the numerous complications and difficulties that might potentially arise from combining the state-of-the-art advancements in sensing technology, deformation shape prediction, and structural health monitoring, to achieve a robust way of monitoring ultra lightweight flying wings or next-generation commercial airplanes.

Paper Details

Date Published: 29 March 2012
PDF: 10 pages
Proc. SPIE 8343, Industrial and Commercial Applications of Smart Structures Technologies 2012, 83430F (29 March 2012); doi: 10.1117/12.914579
Show Author Affiliations
Armen Derkevorkian, The Univ. of Southern California (United States)
Jessica Alvarenga, California State Univ., Los Angeles (United States)
Sami F. Masri, The Univ. of Southern California (United States)
Helen Boussalis, California State Univ., Los Angeles (United States)
W. Lance Richards, NASA Dryden Flight Research Ctr. (United States)

Published in SPIE Proceedings Vol. 8343:
Industrial and Commercial Applications of Smart Structures Technologies 2012
Kevin Farinholt; Steven F. Griffin, Editor(s)

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