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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Leymarie, Nicolas

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CEA LIST

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024Multi-modal characterization of ultrasonic bulk wave properties in heterogeneous textured media through finite element computationscitations
  • 2023Determining ultrasonic propagation effective properties in complex heterogeneous media through microstructure-scale simulation2citations
  • 2020Numerical modeling of wave propagation in anisotropic viscoelastic laminated materials in transient regime: Application to modeling ultrasonic testing of composite structures9citations
  • 2020Crystallographic texture and velocities of ultrasonic waves in a Ni-based superalloy manufactured by laser powder bed fusion14citations
  • 2019Experimental validation of a characterization procedure for anisotropic materials using ultrasonic wave propagation techniquescitations
  • 2019Numerical tools for efficient modelling of the ultrasonic testing of curved composite structurescitations
  • 2015Study of ultrasonic characterization and propagation in austenitic welds: The MOSAICS project4citations
  • 2014Study of Ultrasonic Characterization And Propagation In Austenitic Welds: The MOSAICS Project4citations

Places of action

Chart of shared publication
Imperiale, Alexandre
4 / 8 shared
Demaldent, Edouard
3 / 8 shared
Dorval, Vincent
2 / 9 shared
Aghenzour, Zakaria
1 / 1 shared
Ventura, Pascal
1 / 2 shared
Germain, Lionel
1 / 33 shared
Hazotte, Alain
1 / 32 shared
Khabouchi, Amal
1 / 1 shared
Darmon, Michel
1 / 5 shared
Mascaro, Benoit
1 / 2 shared
Chatillon, Sylvain
1 / 7 shared
Elbaz, Déborah
2 / 2 shared
Guy, Philippe
3 / 11 shared
Demaldent, Édouard
1 / 4 shared
Gueudré, Cécile
2 / 7 shared
Elbaz, Deborah
1 / 1 shared
Chassignole, Bertrand
2 / 8 shared
Recolin, Patrick
2 / 2 shared
Chart of publication period
2024
2023
2020
2019
2015
2014

Co-Authors (by relevance)

  • Imperiale, Alexandre
  • Demaldent, Edouard
  • Dorval, Vincent
  • Aghenzour, Zakaria
  • Ventura, Pascal
  • Germain, Lionel
  • Hazotte, Alain
  • Khabouchi, Amal
  • Darmon, Michel
  • Mascaro, Benoit
  • Chatillon, Sylvain
  • Elbaz, Déborah
  • Guy, Philippe
  • Demaldent, Édouard
  • Gueudré, Cécile
  • Elbaz, Deborah
  • Chassignole, Bertrand
  • Recolin, Patrick
OrganizationsLocationPeople

document

Numerical tools for efficient modelling of the ultrasonic testing of curved composite structures

  • Imperiale, Alexandre
  • Leymarie, Nicolas
  • Demaldent, Édouard
Abstract

Ultrasonic propagation modeling is a major asset in many industrial areas of advanced control. Providing numerical solutions to these problems requires sometimes complex and expensive procedures (memory capacity, computing time). In recent years, CEA LIST has been proposing a time-domain numerical calculation strategy based on a domain decomposition approach and on high order spectral elements. Here we extend this approach to ultrasonic inspections of composite structures reinforced with carbon fibers. This approach can be applied to both guided wave control configurations and more conventional volume wave inspections. In order to manage both geometries and complex defects, we introduce two coordinate systems representing the part before and after its deformation. This procedure allows reconstructing the local fiber orientation on the fly while leveraging the domain decomposition modeling strategy to include defects. In this talk, we will present the progress of the integration of these specific tools into the CIVA software platform.

Topics
  • impedance spectroscopy
  • Carbon
  • composite
  • defect
  • ultrasonic
  • decomposition