Browse Topic: Waveguides

Items (105)
In this work, a unified framework integrating global and local SHM methods for structural health monitoring (SHM) of rotorcraft structures is proposed. This framework integrates both "local" ultrasonic-guided wave-based and "global" vibration-based SHM schemes for tackling damage detection, identification, and quantification under uncertainty. The local SHM is completed by training a variation of variational auto-encoder (MMD-VAE) along with feed-forward neural networks (FFNN). The compressed latent space vector obtained during the training process is applied to achieve both signal reconstruction and state prediction. In terms of the global model, functionally pooled auto-regressive models with exogenous excitation (VFP-ARX) models are applied including to capture low-frequency vibrations. The complete experimental evaluation and assessment of the proposed framework are presented for an Airbus H125 helicopter blade under both low-frequency vibrations and ultrasonic guided waves for SHM.
Fan, YimingKopsaftopoulos, FotisForrester, DavidZhou, Peiyuan
Guided-wave-based acousto-ultrasound structural health monitoring (SHM) methods have attracted the interest of the SHM community as guided waves can travel long distances without significant dissipation and are capable of detecting small damage sizes of several types. However, when subject to changing environmental and operational conditions (EOC), guided-wave-based methods may give false indications of damage as they exhibit increased sensitivity to varying EOC. In order to improve the reliability and enable the large-scale applicability of these methods, and to build a robust SHM system, it is necessary to quantify the uncertainty in guided wave propagation due to changing EOC. In this paper, a rigorous investigation on the uncertainty involved in the propagation of Lamb waves due to the variation in temperature and material properties of nominally-identical structures has been performed both numerically and experimentally. A high fidelity finite element model is established to study the effect of small temperature perturbation on the S0 and A0 modes of Lamb waves and the associated uncertainty is quantified. Then experiments are performed under ambient laboratory temperature variations during an eleven day period. The experimental results have indicated that temperature variations as small as 0.5°C may result variations in the amplitude of Lamb waves and affect the damage index. Then uncertainty due to the variation in material properties has been considered by taking into account the statistical Gamma distributed dependency between Young's modulus and Poisson ratio jointly and the associated variation in the damage index is also investigated.
Ahmed, ShabbirKopsaftopoulos, Fotis
ABSTRACT A combination of nondestructive evaluation (NDE) and structural health monitoring technique has been used to detect and localize in situ damage in X-COR sandwich composites. The NDE techniques, flash thermography and ultrasonic C-Scan, were used, and the inspection results showed promising capabilities as well as their inherent limitations. Subsequently, a guided wave based active interrogation technique was used to enable real-time damage detection and localization capabilities. Macro fiber composite and piezoelectric wafers were used for actuation and sensing, and the interaction of guided waves with the primary damage modes, delaminations and foam core separations, were studied. The results showed that delaminations lead to the guided wave mode conversion phenomenon within the material discontinuity area. A multidimensional signal processing technique, which was developed with a real-time and reference-free perspective, was used to analyze the converted wave modes in the time-space domain for damage localization. The results indicate that the converted wave mode is an effective indicator of in situ damage, especially when the received signal contains wave modes transmitted from multiple source locations.
Li, GuoyiHuff, DanielNeerukatti, RajeshRajadas, AbhishekChattopadhyay, Aditi
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