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  • The issue of the stochastic reconstruction of particulate media from 2D backscatter SEM images is addressed with particular reference to pore space connectivity. The reconstruction of porous bodies in 2D or 3D space was achieved by using a simulated annealing technique. Two constraints were found to be necessary for the successful reconstruction of well connected pore space: the two-point probability function, and the lineal-path function for the solid phase. Surprisingly, the most commonly used method of reconstruction (common method), consisting of a similar application of both the two-point probability function and the lineal-path function for the void phase, resulted in microstructures characterized by poor pore space connectivity, and by artificial patterns. Since it is desirable to employ the maximum possible number of microstructural descriptors (i.e. to use the lineal-path function for the void phase), we propose a new method of reconstruction. The influence of the lineal-path function for the
  • The issue of the stochastic reconstruction of particulate media from 2D backscatter SEM images is addressed with particular reference to pore space connectivity. The reconstruction of porous bodies in 2D or 3D space was achieved by using a simulated annealing technique. Two constraints were found to be necessary for the successful reconstruction of well connected pore space: the two-point probability function, and the lineal-path function for the solid phase. Surprisingly, the most commonly used method of reconstruction (common method), consisting of a similar application of both the two-point probability function and the lineal-path function for the void phase, resulted in microstructures characterized by poor pore space connectivity, and by artificial patterns. Since it is desirable to employ the maximum possible number of microstructural descriptors (i.e. to use the lineal-path function for the void phase), we propose a new method of reconstruction. The influence of the lineal-path function for the (en)
Title
  • Stochastic Reconstruction of Particulate Media Using Simulated Annealing: Improving Pore Connectivity
  • Stochastic Reconstruction of Particulate Media Using Simulated Annealing: Improving Pore Connectivity (en)
skos:prefLabel
  • Stochastic Reconstruction of Particulate Media Using Simulated Annealing: Improving Pore Connectivity
  • Stochastic Reconstruction of Particulate Media Using Simulated Annealing: Improving Pore Connectivity (en)
skos:notation
  • RIV/60461373:22310/09:00022848!RIV10-GA0-22310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA203/05/0347), Z(AV0Z40400503), Z(AV0Z40720504)
http://linked.open...iv/cisloPeriodika
  • 76
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 343885
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22310/09:00022848
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Stochastic reconstruction; Simulated annealing; Two-point Cluster function; Connectivity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [66439A68A9B0]
http://linked.open...i/riv/nazevZdroje
  • Transport in Porous Media
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kočiřík, Milan
  • Hejtmánek, Vladimír
  • Čapek, Pavel
  • Zikánová, Arlete
http://linked.open...ain/vavai/riv/wos
  • 000262832100001
http://linked.open...n/vavai/riv/zamer
issn
  • 0169-3913
number of pages
http://localhost/t...ganizacniJednotka
  • 22310
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