SimScience 2017: Simulation Science pp 145-158 | Cite as

On Microstructure-Property Relationships Derived by Virtual Materials Testing with an Emphasis on Effective Conductivity

  • Matthias NeumannEmail author
  • Orkun Furat
  • Dzmitry Hlushkou
  • Ulrich Tallarek
  • Lorenz Holzer
  • Volker Schmidt
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 889)


Based on virtual materials testing, which combines image analysis, stochastic microstructure modeling and numerical simulations, quantitative relationships between microstructure characteristics and effective conductivity can be derived. The idea of virtual materials testing is to generate a large variety of stochastically simulated microstructures in short time. These virtual, but realistic microstructures are used as input for numerical transport simulations. Finally, a large data basis is available to study microstructure-property relationships quantitatively by classical regression analysis and tools from statistical learning. The microstructure-property relationships obtained for effective conductivity can also be applied to Fickian diffusion. For validation, we discuss an example of Fickian diffusion in porous silica monoliths on the basis of 3D image data.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Matthias Neumann
    • 1
    Email author
  • Orkun Furat
    • 1
  • Dzmitry Hlushkou
    • 2
  • Ulrich Tallarek
    • 2
  • Lorenz Holzer
    • 3
  • Volker Schmidt
    • 1
  1. 1.Institute of StochasticsUlm UniversityUlmGermany
  2. 2.Department of ChemistryPhilipps-Universität MarburgMarburgGermany
  3. 3.Institute of Computational PhysicsZHAWWinterthurSwitzerland

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