Journal ArticleDOI
Structural health monitoring of composite structures using Lamb wave tomography
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TLDR
In this article, the authors used the newly identified energy of the earliest Lamb wave signals as the reconstruction parameter, modifying the sensor configuration from conventional geometries, and normalizing the Lamb wave energy data of the defective sample with respect to that of the defect-free sample.Abstract:
Lamb wave tomography offers a new dimension to the challenging field of in situ health monitoring of structures. The possibility of constructing tomograms from a network of sensors generating and sensing Lamb waves in thin, multi-layered, anisotropic composite plates is explored in the present study. It is shown that improved tomograms result when the anisotropic and attenuative characteristics of composite plates are accounted for by (a) using the newly identified energy of the earliest Lamb wave signals as the reconstruction parameter, (b) modifying the sensor configuration from conventional geometries (and thereby also optimizing the number of sensors), and (c) normalizing the Lamb wave energy data of the defective sample with respect to that of the defect-free sample.read more
Citations
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Ultrasonic Guided Waves in Solid Media
TL;DR: The semi-analytical finite element method (SAFE) has been used for guided wave modeling as discussed by the authors, which has been shown to be useful in the analysis and display of non-destructive testing.
Journal ArticleDOI
Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring
TL;DR: In this article, an ultrasonic guided wave structural health monitoring (SHM) system was developed for aircraft wing inspection, where small, low-cost and light-weight piezoelectric (PZT) discs were bonded to various parts of the aircraft wing, in a form of relatively sparse arrays, for simulated cracks and corrosion monitoring.
Journal ArticleDOI
Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network
TL;DR: In this paper, a convolutional neural network (CNN) based approach was proposed for the classification and prediction of various types of in-plane and through-the-thickness delamination in smart composite laminates using low-frequency structural vibration outputs.
Journal ArticleDOI
Interaction of the primary anti-symmetric Lamb mode (Ao) with symmetric delaminations: numerical and experimental studies
TL;DR: In this paper, the interaction of an ultrasonic guided Lamb wave mode with delamination type defects in a quasi-isotropic laminated composite plate has been studied, using both simulations and experiments.
Journal ArticleDOI
Delamination detection and quantification on laminated composite structures with Lamb waves and wavenumber analysis
TL;DR: In this paper, Laminated composites are susceptible to delamination due to their weak transverse tensile and interlaminar shear strength as compared to their in-plane properties.
References
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Book
Ultrasonic Waves in Solid Media
TL;DR: In this article, the theory of elasticity was introduced and basic formulas and concepts in complex variables in the theory and application of wave propagation were discussed. But the authors did not consider the effects of wave scattering on the wave propagation experiments.
Journal ArticleDOI
Ultrasonic Lamb wave diffraction tomography.
TL;DR: This work describes the iterative reconstruction procedure developed for Lamb wave tomography and allowing for ray bending correction for imaging of moderately scattering objects.
Dissertation
Piezoelectric-based in-situ damage detection of composite materials for structural health monitoring systems
TL;DR: Spearing et al. as discussed by the authors presented the conclusions of an analytical and experimental survey of candidate methods for in-situ damage detection in composite materials and verified experimentally by using piezoelectric patches as actuators and sensors.
Journal ArticleDOI
Performance of iterative tomographic algorithms applied to non-destructive evaluation with limited data
TL;DR: In this paper, nine different iterative tomographic algorithms have been applied to the reconstruction of a two-dimensional object with internal defects from its projections, each projection of the solid object is interpreted as a path integral of the light-sensitive property of the object in the appropriate direction.