Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

Materials Map under construction

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Carella-Payan, Delphine

  • Google
  • 1
  • 6
  • 28

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Digital image correlation assisted characterization of Mode I fatigue delamination in composites28citations

Places of action

Chart of shared publication
Zhu, Man
1 / 2 shared
Gorbatikh, Larissa
1 / 86 shared
Fonteyn, Sander
1 / 4 shared
Pyl, Lincy
1 / 60 shared
Lomov, Stepan
1 / 67 shared
Van Hemelrijck, Danny
1 / 126 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Zhu, Man
  • Gorbatikh, Larissa
  • Fonteyn, Sander
  • Pyl, Lincy
  • Lomov, Stepan
  • Van Hemelrijck, Danny
OrganizationsLocationPeople

article

Digital image correlation assisted characterization of Mode I fatigue delamination in composites

  • Zhu, Man
  • Gorbatikh, Larissa
  • Fonteyn, Sander
  • Pyl, Lincy
  • Carella-Payan, Delphine
  • Lomov, Stepan
  • Van Hemelrijck, Danny
Abstract

A digital image correlation (DIC) based method to characterize the Mode I fatigue delamination onset andpropagation in composite laminates is proposed. The characterization is performed using the double cantileverbeam test (DCB) under fatigue loading. The DIC is used to analyse the displacementfield on the edge of a DCBspecimen, from which the crack tip position is determined as a place where opening displacement converges tozero. The method was successfully applied to both the crack onset detection (fatigue onset life) and propaga-tion monitoring under fatigue cycling. The DIC‐based method, which relies on the actual crack tip position,gives conservative values for the fatigue onset life in comparison with the compliance based method recom-mended in the ASTM standard. The DIC assisted method reduces operator and structure dependent errorsand shows promise for real‐time delamination detection under fatigue loadings.1. IntroductionDelamination is one of the primary failure modes in laminatedcomposites. Characterization of material’s resistance to delaminationunder quasi‐static and fatigue loads is essential to develop no‐defect‐growth design and damage tolerance guidelines for composite struc-tures. The double cantilever beam (DCB) test is widely adopted tomeasure Mode I inter‐laminar toughness[1,2]and Mode I fatiguebehaviour[3–8], and standard methods are established in ASTMD5528[9]for quasi‐static and ASTM D6115[10]for fatigue loading.For characterization of the fatigue behaviour two types of the fati-gue tests are normally conducted: fatigue delamination onset andpropagation. In the former case, the growth onset of an existinginter‐laminar crack is characterized by a G‐N curve, which is analo-gous to the S‐N curve, but replacing the stress,S, with the suppliedstrain energy release rate (SERR),G.Nis the number of loading cyclesrequired for the delamination to onset. The characterization methodfor Mode I is described in ASTM D6115[10]. In this standard, threedifferent ways are introduced to determine the delamination onset.They are:(1)visual observation of the crack onset;(2)detection of1% increase in system’s compliance;(3)detection of 5% increase insystem’s compliance. Because of the difficulties in visual mon

Topics
  • impedance spectroscopy
  • crack
  • fatigue
  • composite