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 (Corresponding Author), Tomi Toratti

Research output: Contribution to journalArticleScientificpeer-review

17 Citations (Scopus)

Abstract

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
Volume33
Issue number11
DOIs
Publication statusPublished - 2011
MoE publication typeA1 Journal article-refereed

Fingerprint

Moisture
Wood
Computer simulation
Wooden construction
Dimensional stability
Service life
Water vapor
Spatial distribution
Sorption
Atmospheric humidity
Protons
Durability
Magnetic Resonance Imaging
Finite element method
Coatings
Costs
Water
Experiments

Keywords

  • Bound water
  • diffusion
  • FEM
  • moisture transport in wood
  • Mult-Fickian models
  • nuclear magnetig resonance (NMR) imaging
  • ProperTune

Cite this

Dvinskikh, Sergey V. ; Henriksson, Marielle ; Mendicino, Antonio Lorenzo ; Fortino, Stefania ; Toratti, Tomi. / NMR imaging study and multi-Fickian numerical simulation of moisture transfer in Norway spruce samples. In: Engineering Structures. 2011 ; Vol. 33, No. 11. pp. 3079-3086.
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abstract = "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.",
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NMR imaging study and multi-Fickian numerical simulation of moisture transfer in Norway spruce samples. / Dvinskikh, Sergey V.; Henriksson, Marielle; Mendicino, Antonio Lorenzo; Fortino, Stefania (Corresponding Author); Toratti, Tomi.

In: Engineering Structures, Vol. 33, No. 11, 2011, p. 3079-3086.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Toratti, Tomi

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