• Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network 

      Autor: Yosifov, Miroslav; Weinberger, Patrick; Plank, Bernhard; Fröhler, Bernhard; Hoeglinger, Markus; Kastner, Johann; Heinzl, Christoph
      (České vysoké učení technické v PrazeCzech Technical University in Prague, 2023)
      This study demonstrates the utilization of deep learning techniques for binary semantic segmentation of pores in carbon fiber reinforced polymers (CFRP) using X-ray computed tomography (XCT) datasets. The proposed workflow ...
    • Simulation of a multimaterial model for modified auxetic structures 

      Autor: Engel, Alexander; Jung, Anne
      (České vysoké učení technické v PrazeCzech Technical University in Prague, 2023)
      Auxetic structures, which is a term used to describe materials with a negative Poisson’s ratio, show beneficial properties like a low density, a high energy absorption capacity and an increased indentation resistance. This ...
    • The possibilities of utilising the skiddometer T2GO for forensic engineering 

      Autor: Kohout, Tomáš; Vrtal, Pavel; Hoffmann, Adam; Blodek, Tomáš
      (České vysoké učení technické v PrazeCzech Technical University in Prague, 2023)
      The aim of the paper is to verify the applicability of the T2GO skiddometer for measuring the coefficient of friction for forensic practice in accordance with the legislative framework of the Czech Republic. In the ...
    • Volume changes measurement of elastomers using 3D DIC 

      Autor: Kotlánová, Barbora; Rusnáková, Soňa; Ogunleye, Raphael Olabanji; Javořík, Jakub
      (České vysoké učení technické v PrazeCzech Technical University in Prague, 2023)
      The presented research aims at measuring the volume changes of elastomers using digital image correlation (DIC) in the 3D configuration (stereo DIC). The deformation measurement method in stereo configuration was applied ...