@article{MinchTrochanowski1997,
  author    = {Minch, M. J. and Trochanowski, A.},
  title     = {The numerical Modelling and Analysis of RC cracked Structures},
  doi       = {10.25643/bauhaus-universitaet.527},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-5278},
  year      = {1997},
  abstract  = {The purpose of this paper is to review model for finite element techniques for non-linear crack analysis of reinforced concrete beams and slabs. The non-linear behaviour of concrete and steel were described. Some calculations of >self-stress< for concrete and reinforced concrete beam was made. Current computational aspects are discussed. Several remarks for future studies are also given. The numerical model of the concrete and reinforced concrete was described. The paper shows the results of calculations on a reinforced concrete plane stress panel with cracks. The non-linear, numerical model of calculations of reinforced concrete was assumed. Using finite elements method some calculations were made. The results of calculations like displacements, stresses and cracking are shown on diagrams. They were compared with experimental results and other finding. Some conclusions about the described model and results of calculation are shown.},
  subject      = {Tragwerk},
  language  = {en}
}
@article{PatzeltErfurtLudwig,
  author    = {Patzelt, Max and Erfurt, Doreen and Ludwig, Horst-Michael},
  title     = {Quantification of cracks in concrete thin sections considering current methods of image analysis},
  series = {Journal of Microscopy},
  volume    = {2022},
  journal   = {Journal of Microscopy},
  number    = {Volume 286, Issue 2},
  doi       = {10.1111/jmi.13091},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220811-46754},
  pages     = {154 -- 159},
  abstract  = {Image analysis is used in this work to quantify cracks in concrete thin sections via modern image processing. Thin sections were impregnated with a yellow epoxy resin, to increase the contrast between voids and other phases of the concrete. By the means of different steps of pre-processing, machine learning and python scripts, cracks can be quantified in an area of up to 40 cm2. As a result, the crack area, lengths and widths were estimated automatically within a single workflow. Crack patterns caused by freeze-thaw damages were investigated. To compare the inner degradation of the investigated thin sections, the crack density was used. Cracks in the thin sections were measured manually in two different ways for validation of the automatic determined results. On the one hand, the presented work shows that the width of cracks can be determined pixelwise, thus providing the plot of a width distribution. On the other hand, the automatically measured crack length differs in comparison to the manually measured ones.},
  subject      = {Beton},
  language  = {en}
}