Modeling of wood-like cellular materials with a geometrical data extraction algorithm

Alp Karakoc*, Johanna Sjölund, Mehedi Reza, Jouni Freund, Albert Hernandez-Estrada, Jouni Paltakari

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
20 Downloads (Pure)


An algorithm on geometrical data extraction, material reconstruction and numerical analysis is presented in order to reconstruct the actual wood-like cellular materials and investigate their linear elastic material behavior in the transverse plane under different loading conditions. The algorithm implemented by Mathematica technical computing software is used to read the pixel data of cellular material images with a wide range of material scales, e.g. from micro- to millimeter scale. As a result of this process, geometrical properties including cell wall thicknesses, cell connectivities, vertex and center coordinates are determined. Identified geometrical properties are transferred to Abaqus/CAE computer aided engineering software by using a Python script and also converted into stereolithography STL model format enabling prototype generation and visualization. As an application example, the reconstructed model by means of the algorithm was used to investigate the in-plane effective stiffness properties of Norway spruce earlywood specimens in the frameworks of homogenization and finite element analysis.

Original languageEnglish
Pages (from-to)209-219
Number of pages11
Issue numberFebruary 2016
Publication statusPublished - 1 Feb 2016
MoE publication typeA1 Journal article-refereed


  • Cellular material
  • Finite element analysis
  • In-plane effective stiffness
  • Material reconstruction
  • Norway spruce
  • Stereolithography STL


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