Wood Science and Technology

, Volume 52, Issue 1, pp 67–89 | Cite as

Finite element analysis of stress-related degrade during drying of Corymbia citriodora and Eucalyptus obliqua

  • Adam L. Redman
  • Henri Bailleres
  • Benoit P. Gilbert
  • Elliot J. Carr
  • Ian W. Turner
  • Patrick Perré


With the use of experimental wood properties and input moisture content field data, a predictive 3D stress–strain finite element analysis (FEA) model was developed allowing to predict the development of stress-related end splitting and surface checking degrade during conventional and vacuum wood drying. Simulations were carried out for two Australian hardwood species, messmate (Eucalyptus obliqua) and spotted gum (Corymbia citriodora), as these species contrast, in terms of wood properties, drying rates and stress degrade susceptibility. The simulations were performed using a 1/8 symmetry model where the full board dimensions are 1900 mm long × 30 mm thick × 100 mm wide. Moisture content field data model simulations were utilised in a three-dimensional FEA model by extruding a 2D moisture content field computed in the TL plane across the radial direction to create a 3D model. Material mechanical properties and shrinkage were calculated in relation to moisture content, over discrete time intervals, using a quasi-static solver. End split failure was investigated at the board end, and surface check failure at the board surface, using a Tsai–Wu failure criterion. Simulations showed that messmate was more susceptible to end splitting than spotted gum and that conventionally dried messmate was more susceptible to surface checking than vacuum-dried messmate. The same results were observed from drying trials. The locations of predicted surface check failure also matched drying trials and are compared.



The substantial contributions of CentraleSupelec, Université Paris-Saclay, Queensland University of Technology (QUT), Griffith University, Forest and Wood Products Australia (FWPA) and the Queensland Government Department of Agriculture and Fisheries (DAF), to the successful undertaking of this collaborative project are gratefully acknowledged. Authors Turner and Carr wish to acknowledge that this research was partially supported by the Australian Research Council (ARC) via the Discovery Project DP150103675 and DECRA Project DE150101137, respectively.


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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Adam L. Redman
    • 1
    • 2
  • Henri Bailleres
    • 2
  • Benoit P. Gilbert
    • 3
  • Elliot J. Carr
    • 1
  • Ian W. Turner
    • 1
    • 4
  • Patrick Perré
    • 5
  1. 1.School of Mathematical Sciences, Science and Engineering FacultyQueensland University of Technology (QUT)BrisbaneAustralia
  2. 2.Agri-Science Queensland, Department of Agriculture and FisheriesQueensland GovernmentSalisburyAustralia
  3. 3.Griffith School of EngineeringGriffith UniversitySouthportAustralia
  4. 4.Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)Queensland University of Technology (QUT)BrisbaneAustralia
  5. 5.LGPM, CentraleSupelecUniversité Paris-SaclayChâtenay-MalabryFrance

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