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

doi:10.1016/j.engstruct.2011.04.011

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 journal › Article › Scientific › peer-review

35 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 language	English
Pages (from-to)	3079-3086
Number of pages	8
Journal	Engineering Structures
Volume	33
Issue number	11
DOIs	https://doi.org/10.1016/j.engstruct.2011.04.011
Publication status	Published - 2011
MoE publication type	A1 Journal article-refereed

Keywords

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

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10.1016/j.engstruct.2011.04.011

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

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.",

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

author = "Dvinskikh, {Sergey V.} and Marielle Henriksson and Mendicino, {Antonio Lorenzo} and Stefania Fortino and Tomi Toratti",

year = "2011",

doi = "10.1016/j.engstruct.2011.04.011",

language = "English",

volume = "33",

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journal = "Engineering Structures",

issn = "0141-0296",

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T1 - NMR imaging study and multi-Fickian numerical simulation of moisture transfer in Norway spruce samples

AU - Dvinskikh, Sergey V.

AU - Henriksson, Marielle

AU - Mendicino, Antonio Lorenzo

AU - Fortino, Stefania

AU - Toratti, Tomi

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Bound water

KW - diffusion

KW - FEM

KW - moisture transport in wood

KW - Mult-Fickian models

KW - nuclear magnetig resonance (NMR) imaging

KW - ProperTune

U2 - 10.1016/j.engstruct.2011.04.011

DO - 10.1016/j.engstruct.2011.04.011

M3 - Article

SN - 0141-0296

VL - 33

SP - 3079

EP - 3086

JO - Engineering Structures

JF - Engineering Structures

IS - 11

ER -

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

Abstract

Keywords

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