Structural health monitoring of composite structures

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Title Structural health monitoring of composite structures
Publication Type thesis
School or College College of Engineering
Department Electrical & Computer Engineering
Author Mehta, Pooja
Date 2017
Description Carbon fiber-reinforced composite materials have been increasingly used in aerospace and aeronautics industries due to their superior strength over metals, low fatigue life, high corrosion resistance, and temperature resistance. Since most damage, such as delaminations, manifest inside the composite material, we often cannot detect damage through visual inspection. As a replacement for visual inspection, ultrasonic guided waves have been widely researched to remotely detect, locate, and characterize damage in structures due to their unique capability to travel long distances and inspect inaccessible locations for damage. Yet the anisotropic nature of composites makes it difficult to identify the velocity characteristics of the guided waves and utilize them for damage localization. To address this challenge, we use sparse wavenumber analysis to determine anisotropic multimodal and dispersive frequency-wavenumber characteristics of guided waves. We then use these multimodal and dispersive properties to predict how guided waves propagate in the anisotropic plate through sparse wavenumber synthesis. Finally, these predictions, which form a wave propagation model for the composite, are integrated with matched field processing, a model-based localization framework, to locate damage on the composite.
Type Text
Publisher University of Utah
Subject Compressive Sensing; Matched Field Processing; Sparsity
Dissertation Name Master of Science
Language eng
Rights Management ©Pooja Mehta
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s6mw6np5
Setname ir_etd
ID 1348671
Reference URL https://collections.lib.utah.edu/ark:/87278/s6mw6np5
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