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<p>This paper proposes a careful analysis of the experimental results of two original experimental setups to assess the validity of mechano-sorptive model suitable for wood drying. For that purpose, the combination of the <i>Fork</i> and <i>Flying Wood</i> tests forms two complementary and contrasted stress load itineraries: the first is used to test and identify the parameters of the mechano-sorptive model through inverse analysis, while the second evaluates the model robustness in predicting the development of drying stresses when coupled with a heat and mass transfer model. Several classical mechano-sorptive models have been compared with these two complementary tests. Among the different models tested, the single dashpot model with moisture-dependent viscosity was found to be the most suitable for reproducing the behaviour of beech in both tests. However, the remaining differences highlighted the need for an improved model.</p>

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Experimental assessment of Mechano-Sorptive models for wood drying by combining fork and flying wood tests

  • 期刊论文

  • 发表日期：

    2026年4月6日

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  • Antoine Stéphan,
  • Patrick Perré,
  • Clément L’Hostis,
  • Romain Rémond

摘要

This paper proposes a careful analysis of the experimental results of two original experimental setups to assess the validity of mechano-sorptive model suitable for wood drying. For that purpose, the combination of the Fork and Flying Wood tests forms two complementary and contrasted stress load itineraries: the first is used to test and identify the parameters of the mechano-sorptive model through inverse analysis, while the second evaluates the model robustness in predicting the development of drying stresses when coupled with a heat and mass transfer model. Several classical mechano-sorptive models have been compared with these two complementary tests. Among the different models tested, the single dashpot model with moisture-dependent viscosity was found to be the most suitable for reproducing the behaviour of beech in both tests. However, the remaining differences highlighted the need for an improved model.