TY - JOUR
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 - 2011/11/1
Y1 - 2011/11/1
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 - Multi-Fickian models
KW - Nuclear magnetic resonance (NMR) imaging
UR - http://www.scopus.com/inward/record.url?scp=80052967821&partnerID=8YFLogxK
U2 - 10.1016/j.engstruct.2011.04.011
DO - 10.1016/j.engstruct.2011.04.011
M3 - Article
AN - SCOPUS:80052967821
VL - 33
SP - 3079
EP - 3086
JO - Engineering Structures
JF - Engineering Structures
SN - 0141-0296
IS - 11
ER -