Multi-phase model for moisture transport in wood supported by X-ray computed tomography data

被引:0
作者
Dsouza, Royson D. [1 ]
Harjupatana, Tero [2 ,3 ]
Miettinen, Arttu [2 ,3 ]
Brandstaetter, Florian [4 ]
Harju, Anni [5 ]
Venalainen, Martti [5 ]
Mottonen, Veikko [6 ]
Borrega, Marc [1 ,7 ]
Paajanen, Antti [1 ]
Fuessl, Josef [4 ]
Fortino, Stefania [1 ]
机构
[1] VTT Tech Res Ctr Finland Ltd, Vuorimiehentie 2, Espoo 02150, Finland
[2] Univ Jyvaskyla, Nanosci Ctr, Dept Phys, Survontie 9, Jyvaskyla 40014, Finland
[3] Univ Jyvaskyla, Sch Resource Wisdom, Survontie 9, Jyvaskyla 40014, Finland
[4] TU WIEN, Inst Mech Mat & Struct, Karlspl 13, A-1040 Vienna, Austria
[5] Nat Resources Inst Finland, Vipusenkuja 5, Savonlinna 57200, Finland
[6] Nat Resources Inst Finland, Yliopistokatu 6 b, Joensuu 80100, Finland
[7] VTT Tech Res Ctr Finland Ltd, Tekniikantie 21, Espoo 02150, Finland
关键词
NUMERICAL-SIMULATION; WATER DISTRIBUTION; MASS-TRANSFER; DIFFUSION; VERSION; FLOW;
D O I
10.1007/s00226-025-01635-9
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
This study investigates the dynamics of moisture transport in Scots pine (Pinus sylvestris L.) heartwood and sapwood, under alternating drying and wetting cycles, incorporating interactions between bound water, free water, and water vapor using a multi-phase model. Cylindrical specimens oriented longitudinally, radially, and tangentially were subjected to controlled relative humidity (RH) steps of 33%, 94%, and 64% at 23 degrees\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$<^>\circ$$\end{document}C. High-resolution X-ray computed tomography (CT) provided detailed, time-resolved measurements of moisture distributions within the wood. A multi-phase model was developed that couples Fickian diffusion (for bound water and vapor) with Darcy's law (for free water), supplemented by phase-conversion terms that account for evaporation and sorption. Key parameters, including absolute and relative permeabilities, direction-dependent vapor diffusivity reductions, thermal conductivity tensors, and free water transport formulations, were determined by matching predicted moisture profiles to the CT measurements. Among concentration and mixed concentration-pressure formulations for free water model, the mixed approach produced the most accurate match. The CT images revealed a rapid depletion of free water during the initial drying step, followed by distinct variations in bound water content as the RH was raised and lowered. Numerical simulations closely replicated these trends, indicating that the calibrated model effectively represents moisture transport both above and below the fiber saturation point.
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页数:28
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