Abstract
Inaccuracies in the modeling assumptions about the distributional characteristics of the monitored signatures have been shown to cause frequent false positives in vehicle monitoring systems for high-risk aerospace applications. to enable the development of robust fault detection methods, this work explores the deterministic as well as variational characteristics of failure signatures. Specifically, we explore the combined impact of crack damage and manufacturing variation on the vibrational characteristics of beams. the transverse vibration and associated eigenfrequencies of the beams are considered. Two different approaches are used to model beam vibrations with and without crack damage. the first approach uses a finite difference approach to enable the inclusion of both cracks and manufacturing variation. the crack model used with both approaches is based on a localized decrease in the Young's modulus. the second approach uses Myklestad's method to evaluate the effects of cracks and manufacturing variation. using both beam models, Monte Carlo simulations are used to explore the impacts of manufacturing variation on damaged and undamaged beams. Derivations are presented for both models. Conclusions are presented on the choice of modeling techniques to define crack damage, and its impact on the monitored signal, followed by conclusions about the distributional characteristics of the monitored signatures when exposed to random manufacturing variations. Copyright © 2007 by ASME.
Recommended Citation
D. A. McAdams et al., "Exploring Effective Methods for Simulating Damaged Structures with Geometric Variation: toward Intelligent Failure Detection," Journal of Applied Mechanics, Transactions ASME, vol. 74, no. 2, pp. 191 - 202, American Society of Mechanical Engineers, Mar 2007.
The definitive version is available at https://doi.org/10.1115/1.2188535
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Available Access
International Standard Serial Number (ISSN)
0021-8936
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Mar 2007