Level set-based XFEM modelling of the multi-scale hygro-mechanical behaviour of oak wood using morphological input from $$\mu $$CT

A computational multi-scale model is presented to predict the macroscopic hygro-mechanical behaviour of oak wood, based on detailed three-dimensional mesoscopic representations of entire oak growth rings obtained by X-ray micro-computed tomography ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>μ</mml:mi></mml:math> CT). The 3D meso-structural volumes acquired by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>μ</mml:mi></mml:math> CT scanning consist of arrays of voxels, with the grayscale intensity values of the voxels denoting the local material densities. A level set-based image segmentation method is applied to distinguish the individual meso-structural phases, including the cell walls and voids (lumen and vessels). A dedicated algorithm based on the spatial gradient of the level set function accurately identifies the local material directions in the cell walls. The individual phases in the meso-scale cellular structure are discretized using the extended finite element method. Here, a moment fitting scheme is applied for an efficient numerical integration in the elements intersected by cell wall boundaries. Finally, asymptotic homogenization is used for computing the effective macro-scale response of oak wood from the hygro-mechanical response of the underlying meso-structure. The macro-scale hygro-mechanical behaviour calculated by the multi-scale model for oak growth rings agrees well with experimental values from the literature. Further, the meso-scale response computed for oak growth rings subjected to a representative moisture content variation allows to identify local, critical sites in which mesoscopic hygro-mechanical damage may occur. The effective hygro-mechanical properties calculated by the multi-scale model may serve as an input for predicting the moisture-dependent mechanical response of oak wood structures and objects subjected to arbitrary hygro-mechanical loading paths.

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Publication Details

Journal
Computational Mechanics
Published
2025-03-29
DOI
https://doi.org/10.1007/s00466-025-02618-0
Citations
5
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
6.67

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article

Level set-based XFEM modelling of the multi-scale hygro-mechanical behaviour of oak wood using morphological input from $$\mu $$CT

M.P.F.H.L. van Maris, E. Bosco, Mohammad Ahmadi Livani, A.S.J. Suiker
5 citations
Computational Mechanics
3D Shape Modeling and Analysis
6.67
article

Level set-based XFEM modelling of the multi-scale hygro-mechanical behaviour of oak wood using morphological input from $$\mu $$CT

M.P.F.H.L. van Maris, E. Bosco, Mohammad Ahmadi Livani, A.S.J. Suiker
article en
5 citations

Abstract

A computational multi-scale model is presented to predict the macroscopic hygro-mechanical behaviour of oak wood, based on detailed three-dimensional mesoscopic representations of entire oak growth rings obtained by X-ray micro-computed tomography ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>μ</mml:mi></mml:math> CT). The 3D meso-structural volumes acquired by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>μ</mml:mi></mml:math> CT scanning consist of arrays of voxels, with the grayscale intensity values of the voxels denoting the local material densities. A level set-based image segmentation method is applied to distinguish the individual meso-structural phases, including the cell walls and voids (lumen and vessels). A dedicated algorithm based on the spatial gradient of the level set function accurately identifies the local material directions in the cell walls. The individual phases in the meso-scale cellular structure are discretized using the extended finite element method. Here, a moment fitting scheme is applied for an efficient numerical integration in the elements intersected by cell wall boundaries. Finally, asymptotic homogenization is used for computing the effective macro-scale response of oak wood from the hygro-mechanical response of the underlying meso-structure. The macro-scale hygro-mechanical behaviour calculated by the multi-scale model for oak growth rings agrees well with experimental values from the literature. Further, the meso-scale response computed for oak growth rings subjected to a representative moisture content variation allows to identify local, critical sites in which mesoscopic hygro-mechanical damage may occur. The effective hygro-mechanical properties calculated by the multi-scale model may serve as an input for predicting the moisture-dependent mechanical response of oak wood structures and objects subjected to arbitrary hygro-mechanical loading paths.

Computational MechanicsVol. 76(3)
Eindhoven University of Technology (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 3%
3D Shape Modeling and Analysis
6.67
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