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

    19 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.
    @article{afe19a31f41e4220a163a052d3ff79fe,
    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",
    pages = "3079--3086",
    journal = "Engineering Structures",
    issn = "0141-0296",
    publisher = "Elsevier",
    number = "11",

    }

    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

    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

    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

    VL - 33

    SP - 3079

    EP - 3086

    JO - Engineering Structures

    JF - Engineering Structures

    SN - 0141-0296

    IS - 11

    ER -