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Journal ArticleDOI

Determination of impact location on composite stiffened panels

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TLDR
In this article, a methodology for impact identification on composite stiffened panels using piezoceramic sensors has been presented, where a large number of impacts covering a wide range of energies (corresponding to small and large mass impacts) at various locations of a composite stiffening panel have been simulated using the finite element (FE) method.
Abstract
In this work a methodology for impact identification on composite stiffened panels using piezoceramic sensors has been presented. A large number of impacts covering a wide range of energies (corresponding to small and large mass impacts) at various locations of a composite stiffened panel have been simulated using the finite element (FE) method. To predict the impact location, artificial neural networks have been established using the data generated from FE analyses. A number of sensor signal features have been examined as inputs to the neural network and the effect of noise on the predictions has been investigated. The results of the study show that the trained network is capable of locating impacts with different energies at different locations (e.g. in the bay, over/under the stringer and on the foot of the stringer) in a complicated structure such as a composite stiffened panel.

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Citations
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Journal ArticleDOI

Materials that couple sensing, actuation, computation, and communication

TL;DR: Robotic materials can enable smart composites that autonomously change their shape, stiffness, or physical appearance in a fully programmable way, extending the functionality of classical “smart materials.”
Journal ArticleDOI

Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications.

TL;DR: The requirements for practical implementation and use of structural health monitoring systems in aircraft application, state-of-the-art techniques for solving some practical issues, such as sensor network integration, scalability to large structures, reliability and effect of environmental conditions, robust damage detection and quantification are discussed.
Journal ArticleDOI

Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates

TL;DR: In this article, a modified delay-and-sum algorithm is proposed for detecting impact damage in composite plates with and without a stiffener, which is shown to capture and localize damage with only four transducers.
Journal ArticleDOI

Identification of impact force for smart composite stiffened panels

TL;DR: In this paper, the authors used an efficient nonlinear finite element (FE) model of a sensorized composite stiffened panel to reconstruct the impact force history using artificial neural networks (ANNs) and spectral components of sensor data recorded by piezoceramic sensors.
Journal ArticleDOI

Single-Sensor Acoustic Emission Source Localization in Plate-Like Structures Using Deep Learning

TL;DR: Two deep learning approaches to localize acoustic emissions (AE) sources within metallic plates with geometric features, such as rivet-connected stiffeners and a stack of autoencoders and a convolutional neural network are introduced.
References
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Book

Neural Networks: A Comprehensive Foundation

Simon Haykin
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI

Orthonormal bases of compactly supported wavelets

TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
MonographDOI

Contact Mechanics: Frontmatter

K. L. Johnson
Journal ArticleDOI

Impact on composite structures

TL;DR: The problem of impact damage in laminated composite structures, and the consequent reduction in residual strength, has been a topic of continual research for over two decades as mentioned in this paper, and the number of journal papers on the subject now runs into four figures and most have been conscientiously reviewed by Abrate.
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