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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024Ultrahigh-speed imaging for high-impact concrete deformation analysis in pre- and post-cracking stages2citations
  • 2023Photogrammetric Image Sequence Analysis for Deformation Measurement and Crack Detection Applied to a Shear Test on a Carbon Reinforced Concrete Membercitations
  • 2022ON THE USE OF POLARIZATION CAMERAS FOR THE DETERMINATION OF CONCRETE MOISTUREcitations
  • 2021Impaktsicherheit von Baukonstruktionen durch mineralisch gebundene Komposite3citations
  • 2020Crack Propagation Velocity Determination by High-speed Camera Image Sequence Processing19citations
  • 2019DETECTION AND EXTRACTION OF WATER BOTTOM TOPOGRAPHY FROM LASERBATHYMETRY DATA BY USING FULL-WAVEFORM-STACKING TECHNIQUES6citations

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Chart of shared publication
Liebold, Frank
4 / 6 shared
Vergara, Laura Camila Duran
1 / 1 shared
Bosbach, Sven
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Marx, Steffen
1 / 34 shared
Hegger, Josef
1 / 8 shared
Adam, Viviane
1 / 1 shared
Claßen, Martin
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Bergmann, Sarah
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Maiwald, Ferdinand
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Isfort, S.
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Mulsow, C.
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Hering, Marcus
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Mechtcherine, Viktor
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Steinke, Christian
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Fuchs, Alexander
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Scheerer, Silke
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Curbach, Manfred
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Cherif, Chokri
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Qinami, Aurel
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Vo, Duy Minh Phuong
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Kaliske, Michael
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Sennewald, Cornelia
1 / 10 shared
Curosu, Iurie
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Mosig, Oliver
1 / 4 shared
Heravi, Ali A.
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Mader, David
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Weiß, R.
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Richter, K.
1 / 15 shared
Westfeld, P.
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Co-Authors (by relevance)

  • Liebold, Frank
  • Vergara, Laura Camila Duran
  • Bosbach, Sven
  • Marx, Steffen
  • Hegger, Josef
  • Adam, Viviane
  • Claßen, Martin
  • Bergmann, Sarah
  • Maiwald, Ferdinand
  • Isfort, S.
  • Mulsow, C.
  • Hering, Marcus
  • Mechtcherine, Viktor
  • Steinke, Christian
  • Fuchs, Alexander
  • Scheerer, Silke
  • Curbach, Manfred
  • Cherif, Chokri
  • Qinami, Aurel
  • Vo, Duy Minh Phuong
  • Kaliske, Michael
  • Sennewald, Cornelia
  • Curosu, Iurie
  • Mosig, Oliver
  • Heravi, Ali A.
  • Mader, David
  • Weiß, R.
  • Richter, K.
  • Westfeld, P.
OrganizationsLocationPeople

article

Crack Propagation Velocity Determination by High-speed Camera Image Sequence Processing

  • Curbach, Manfred
  • Liebold, Frank
  • Mosig, Oliver
  • Heravi, Ali A.
  • Maas, Hans-Gerd
  • Mechtcherine, Viktor
Abstract

<p>The determination of crack propagation velocities can provide valuable information for a better understanding of damage processes of concrete. The spatio-temporal analysis of crack patterns developing at a speed of several hundred meters per second is a rather challenging task. In the paper, a photogrammetric procedure for the determination of crack propagation velocities in concrete specimens using high-speed camera image sequences is presented. A cascaded image sequence processing which starts with the computation of displacement vector fields for a dense pattern of points on the specimen's surface between consecutive time steps of the image sequence chain has been developed. These surface points are triangulated into a mesh, and as representations of cracks, discontinuities in the displacement vector fields are found by a deformation analysis applied to all triangles of the mesh. Connected components of the deformed triangles are computed using region-growing techniques. Then, the crack tips are determined using the principal component analysis. The tips are tracked in the image sequence and the velocities between the time stamps of the images are derived. A major advantage of this method as compared to the established techniques is in the fact that it allows spatio-temporally resolved, full-field measurements rather than point-wise measurements. Furthermore, information on the crack width can be obtained simultaneously. To validate the experimentation, the authors processed image sequences of tests on four compact-tension specimens performed on a split-Hopkinson tension bar. The images were taken by a high-speed camera at a frame rate of 160,000 images per second. By applying the developed image sequence processing procedure to these datasets, crack propagation velocities of about 800 m/s were determined with a precision in the order of 50 m/s.</p>

Topics
  • impedance spectroscopy
  • surface
  • crack