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A. De Fenza

Researcher at University of Naples Federico II

Publications -  12
Citations -  198

A. De Fenza is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Finite element method & Lamb waves. The author has an hindex of 6, co-authored 11 publications receiving 116 citations. Previous affiliations of A. De Fenza include Charles III University of Madrid & Instituto Nacional de Técnica Aeroespacial.

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Application of Artificial Neural Networks and Probability Ellipse methods for damage detection using Lamb waves

TL;DR: In this paper, an application of Artificial Neural Networks and Probability Ellipse methods for damage detection using Lamb waves is presented, where wave propagation data are used to determine the location and degree of damage in metallic and composite plates.
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Guided waves in a composite winglet structure: Numerical and experimental investigations

TL;DR: In this paper, numerical and experimental investigations aimed to develop a Finite Element (FE) model for predicting wave propagation in a blended composite winglet were conducted, where the authors investigated the efficiency of shell finite elements in modelling guided waves propagation in such complex structure as a winglet.
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Guided-Waves in a Low Velocity Impacted Composite Winglet

TL;DR: In this paper, a description of two numerical techniques based on Finite Element Method (FEM) for the simulation of Lamb wave propagation in a damaged Glass Fibre Reinforced Polymer composite winglet is presented.
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A sensitivity analysis on the damage detection capability of a Lamb waves based SHM system for a composite winglet

TL;DR: A sensitivity analysis, based on the Finite Element (FE) theory, aimed to investigate numerically the influence of the damage orientation on the damage detection capability of a Lamb waves based SHM system arranged on a damaged Glass Fiber Reinforced Polymer composite winglet.
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Progress in Studying Passive and Active Devices for Fuselage Noise Reduction for Next Generation Turboprop

TL;DR: In this paper, a hybrid active and passive active noise control system was proposed to increase the noise attenuation transmitted in the propeller aircraft fuselage, and the performance of the hybrid active device was evaluated on the first three blade pass frequencies.