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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Processes and Engineering in Mechanics and Materials

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Real-time sinusoidal parameter estimation for damage growth monitoring during ultrasonic very high cycle fatigue tests9citations
  • 2022Real-time sinusoidal parameter estimation for damage growth monitoring during ultrasonic very high cycle fatigue tests9citations
  • 2022Harmonic balance-based crack size estimation in an ultrasonic fatigue specimencitations
  • 2021Harmonic balance framework for ultrasonic fatigue vibrationcitations
  • 2019Investigation of nonlinear Lamb wave/damage interaction: numerical and experimental approachescitations
  • 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

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Ranc, Nicolas
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Rébillat, Marc
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Kiser, Shawn L.
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Rebillat, Marc
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Li, Xixi
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Mechbal, Nazih
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Monteiro, Eric
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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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Co-Authors (by relevance)

  • Ranc, Nicolas
  • Rébillat, Marc
  • Kiser, Shawn L.
  • Rebillat, Marc
  • Li, Xixi
  • Mechbal, Nazih
  • Monteiro, Eric
  • Berthe, Laurent
  • Ghrib, Meriem
  • Bedreddine, Nas
  • Ecault, Romain
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document

Investigation of nonlinear Lamb wave/damage interaction: numerical and experimental approaches

  • Li, Xixi
  • Mechbal, Nazih
  • Rébillat, Marc
  • Guskov, Mikhail
  • Monteiro, Eric
Abstract

One of the most important issues in engineering is the monitoring and the early detection of structural damages to prevent catastrophic failures. This process is referred to as Structural Health Monitoring and is expected to provide considerable improvements with respect to safety and maintenance costs. More particularly, the focus is here put on composite structure representative of aeronautic applications and the damages to be monitored are of “delamination” type. Nonlinear features generated by Lamb wave/damage interaction were employed for the detection of the delamination damage. Experiments are conducted on composite plates made of carbon fiber reinforced polymer equipped with two piezoelectric transducers. One plate is calibrated with a delamination damage at the center using laser shock wave technique. Nonlinear features of Lamb waves are observed in the experimental results. Finite element method is here used for investigating the nonlinear wave properties as well as the wave/damage interaction. Two damage models are studied and implemented at delamination area: a spring model and a contact model. An undamaged plate is also presented as reference in both finite element simulations and experiments. Results show that higher harmonics can be used as identification of the existence of delamination damage in a composite structure. A contact interaction model can represent the mechanical behavior of delamination damage and can be used for a real delamination modelling. ; This work has been partially funded by the Chinese Scholarship Council (CSC).

Topics
  • impedance spectroscopy
  • polymer
  • Carbon
  • experiment
  • simulation
  • composite