NMR imaging study and multi-Fickian numerical simulation of moisture transfer in Norway spruce samples

Sergey V. Dvinskikh, Marielle Henriksson, Antonio Lorenzo Mendicino, Stefania Fortino, Tomi Toratti

Research output

19 Citations (Scopus)


Wood has potential as a renewable material for a large variety of applications that often call for improved properties such as dimensional stability, moisture insensitivity, and durability. Moisture migration in wood is a particularly important factor in determining the cost-effective service life of wooden construction. Within the present research, proton NMR imaging was applied for recording the moisture spatial distribution of various samples of Norway Spruce. Moisture distribution along the radial, tangential and longitudinal directions in wood was monitored at different times upon three consecutive changes of relative humidity: (1) from 65% to 94%; (2) from 94% to 33%; (3) from 33% to 65%. Uncoated samples and specimens treated with different types of surface coatings were studied.The experiments were numerically simulated by using the multi-Fickian model. The model describes the moisture transport process in wood which is characterized by three phenomena: (a) bound water diffusion, (b) water vapor diffusion and (c) coupling between the two phases through sorption. The model is implemented into the Abaqus FEM code. The numerical results are found to be in agreement with the experimental data.

Original languageEnglish
Pages (from-to)3079-3086
Number of pages8
JournalEngineering Structures
Issue number11
Publication statusPublished - 1 Nov 2011


Scopus subject areas

  • Civil and Structural Engineering

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