Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Mechbal, Nazih

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Processes and Engineering in Mechanics and Materials

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (17/17 displayed)

  • 2023Hybrid twin of RTM process at the scarce data limit7citations
  • 2022Design and control of a new electrostrictive polymer based continuum actuator for endoscopic robot6citations
  • 2022Design and control of a new electrostrictive polymer based continuum actuator for endoscopic robot ; JIMSS6citations
  • 2022Prediction of frequency and spatially dependent attenuation of guided waves propagating in mounted and unmounted A380 parts made up of anisotropic viscoelastic composite laminates14citations
  • 2022Experimental Damage Localization and Quantification with a Numerically Trained Convolutional Neural Networkcitations
  • 2020Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures14citations
  • 2019Data-Driven Autoregressive Model Identification for Structural Health Monitoring in an Anisotropic Composite Plate.citations
  • 2019Data-Driven Autoregressive Model Identification for Structural Health Monitoring in an Anisotropic Composite Plate.citations
  • 2019Piezoelectric transducer for low frequency sound generation on surface loudspeakerscitations
  • 2019Investigation of nonlinear Lamb wave/damage interaction: numerical and experimental approachescitations
  • 2018Optimal dual-PZT sizing and network design for baseline-free SHM of complex anisotropic composite structures23citations
  • 2018LASER shock delamination generation and machine learning-based damage quantification in CFRP composites platescitations
  • 2017Generation of controlled delaminations in composites using symmetrical laser shock configuration35citations
  • 2017Estimation of the temperature field on a composite fan cowl using the static capacity of surface-mounted piezoceramic transducerscitations
  • 2017Estimation of the temperature field on a composite fan cowl using the static capacity of surface-mounted piezoceramic transducers1citations
  • 2015Perturbation Analysis for Robust Damage Detection with Application to Multifunctional Aircraft Structurescitations
  • 2010Active Damage Detection and Localization Applied to Composite Structure Using Piezoceramic Patchescitations

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Rebillat, Marc
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Chinesta, Francisco
1 / 52 shared
Monteiro, Eric
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Rodriguez, Sebastian
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Tence-Girault, S.
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Sun, Q.
1 / 3 shared
Traxer, O.
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Jacquemin, Q.
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Doizi, S.
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Thuau, D.
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Monteiro, E.
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Thuau, Damien
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Tence-Girault, Sylvie
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Jacquemin, Quentin
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Doizi, Steeve
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Sun, Quan
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Traxer, Olivier
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Guo, Shuanglin
1 / 1 shared
Rébillat, Marc
7 / 13 shared
Postorino, Hadrien
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Da Silva, Samuel
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Paixão, Jessé
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Silva, Samuel Da
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Paixao, Jessé
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Benbara, Nassim
1 / 1 shared
Bolzmacher, Christian
3 / 4 shared
Li, Xixi
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Guskov, Mikhail
3 / 7 shared
Lizé, Emmanuel
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Berthe, Laurent
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Ghrib, Meriem
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Bedreddine, Nas
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Ecault, Romain
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Lize, Emmanuel
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Hajrya, Rafik
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Rafik, Hajrya
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Vergé, Michel
1 / 1 shared
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Co-Authors (by relevance)

  • Rebillat, Marc
  • Chinesta, Francisco
  • Monteiro, Eric
  • Rodriguez, Sebastian
  • Tence-Girault, S.
  • Sun, Q.
  • Traxer, O.
  • Jacquemin, Q.
  • Doizi, S.
  • Thuau, D.
  • Monteiro, E.
  • Thuau, Damien
  • Tence-Girault, Sylvie
  • Jacquemin, Quentin
  • Doizi, Steeve
  • Sun, Quan
  • Traxer, Olivier
  • Guo, Shuanglin
  • Rébillat, Marc
  • Postorino, Hadrien
  • Da Silva, Samuel
  • Paixão, Jessé
  • Silva, Samuel Da
  • Paixao, Jessé
  • Benbara, Nassim
  • Bolzmacher, Christian
  • Li, Xixi
  • Guskov, Mikhail
  • Lizé, Emmanuel
  • Berthe, Laurent
  • Ghrib, Meriem
  • Bedreddine, Nas
  • Ecault, Romain
  • Lize, Emmanuel
  • Hajrya, Rafik
  • Rafik, Hajrya
  • Vergé, Michel
OrganizationsLocationPeople

document

Prediction of frequency and spatially dependent attenuation of guided waves propagating in mounted and unmounted A380 parts made up of anisotropic viscoelastic composite laminates

  • Guo, Shuanglin
  • Mechbal, Nazih
  • Rébillat, Marc
Abstract

Monitoring damage in composite structures using guided wave-based techniques is particularly effective due to their excellent ability to propagate over relatively long distance and hence to cover a large area with few testing time and equipment. The industrialization of this method is highly tributary of the number and placement of the active elements. Yet, the optimal sensorization of a structure relies on the decrease in amplitude of guided waves over propagation distance. A reliable prediction of attenuation of guided waves is still a challenge especially for anisotropic viscoelastic composite materials which exhibit complex changes of attenuation with propagation direction and thus a spatial dependency of attenuation. In this paper, the damped global matrix method (dGMM), having stable and efficient merits, is developed to predict the frequency and spatially dependent attenuation of waves propagating in anisotropic composite materials. dGMM integrates three damping models (Hysteretic, Kelvin-Voigt, and Biot models) into the conventional undamped GMM to consider viscoelasticity of composite laminates. The proposed dGMM is first theoretically validated by numerical comparison with the semi-analytical finite element method. In addition, two industrial case studies, parts of an A380 nacelle at scale one, are employed to experimentally validate the proposed attenuation prediction method. The first one is a fan cowl structure and the second one is an inner fixed structure, both either unmounted or mounted on an actual instrumented A380 plane. This makes the validation extremely valuable for both the scientific and industrial communities. The proposed attenuation prediction method thus paves the way to optimally deploy sensor network for structural health monitoring of anisotropic viscoelastic composite structures. ; CSC Scholarship

Topics
  • impedance spectroscopy
  • anisotropic
  • composite
  • viscoelasticity