Materials Map

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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2023Experimental study of the damage behaviour of thermoplastic glass/polypropylene laminates under in-plane tension fatiguecitations
  • 2023Fatigue behaviour of thermoplastic glass/polypropylene composite cross-ply laminates : an experimental study with in-situ damage observations and numerical validation6citations
  • 2023Experimental and numerical fatigue damage characterization in multidirectional thermoplastic glass/polypropylene laminates based on in-situ damage observations5citations
  • 2023Fatigue modeling of matrix cracking and delamination in multidirectional glass/polypropylene composite laminatescitations
  • 2023Damage characterization of multidirectional glass/polypropylene composite laminates in tension-tension fatiguecitations
  • 2022Experimental and numerical damage characterization of glass/polypropylene multidirectional laminates under quasi-static loading condition5citations
  • 2022An energy method for physics-based progressive damage modelling in composite laminates under multiaxial fatigue loadingcitations
  • 2021Multi scale digital image correlation for automatic edge detection of ply cracks in composite laminates under quasi static and fatigue loadingcitations
  • 2021Multi scale digital image correlation for automatic edge detection of ply cracks in composite laminates under quasi static and fatigue loadingcitations

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Hajikazemi, Mohammad
8 / 31 shared
Van Paepegem, Wim
8 / 489 shared
De Baere, I.
1 / 51 shared
Sommer, J.
1 / 1 shared
Baere, Ives De
4 / 20 shared
Hajikazemi, M.
1 / 11 shared
De Baere, Ives
4 / 49 shared
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Co-Authors (by relevance)

  • Hajikazemi, Mohammad
  • Van Paepegem, Wim
  • De Baere, I.
  • Sommer, J.
  • Baere, Ives De
  • Hajikazemi, M.
  • De Baere, Ives
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document

Multi scale digital image correlation for automatic edge detection of ply cracks in composite laminates under quasi static and fatigue loading

  • Hajikazemi, Mohammad
  • Van Paepegem, Wim
  • Sommer, Josef
  • Baere, Ives De
Abstract

Ply cracking is typically the first ply level damage mode in composite laminates under static and fatigue tensile loading. Ply cracks do not usually cause the final failure of a laminate, but may significantly degrade the effective properties of the composite and serve as a source for other damage modes initiation. However, the in-situ experimental detection and quantification of this damage mode is a challenging task specially under fatigue loading conditions without stopping the test. This work is focused on detection of ply cracking and calculation of crack density [1] in multidirectional symmetric composite laminates. The main objective of this work is to study whether the DIC technique [2] is reliable for automated crack detection and functional in calculation of crack density. Therefore, digital image correlation with 2D-DIC and 3D-DIC setups (Figure 1) at the edge and top surfaces of [02/902]s, [02/452]s and [902/02]s glass/epoxy laminates is utilized to detect crack density under uniaxial quasi-static and fatigue loading conditions. For fatigue, the maximum cyclic tensile stress of 90% of the first crack initiation stress, obtained from quasi-static tests, with load ratio σmin/σmax=0.1, frequency of 5 Hz and up to 200,000 cycles, is considered. An optimization analysis is implemented to evaluate the resolution and the standard uncertainty in DIC strain and displacement measurements. Next, a comparison is established between the discontinuities in both strain and displacement fields for crack detection. Consequently, the displacement field has proved to deliver better and more accurate results than strain fields in crack density calculation. The results obtained from DIC analysis are compared and validated by microscopic images which are acquired after performing each test (Figure 2). The study of the results shows that the developed DIC methodology are suited for automated crack detection in fatigue and quasi-static loadings, and as such extract the evolution of crack density vs. number of cycles.

Topics
  • density
  • impedance spectroscopy
  • surface
  • glass
  • glass
  • crack
  • fatigue
  • composite