Hygro-mechanical properties of paper fibrous networks through asymptotic homogenization and comparison with idealized models

被引:26
作者
Bosco, E. [1 ,2 ]
Peerlings, R. H. J. [2 ]
Geers, M. G. D. [2 ]
机构
[1] Mat Innovat Inst, POB 5008, NL-2600 GA Delft, Netherlands
[2] Eindhoven Univ Technol, Dept Mech Engn, POB 513, NL-5600 MB Eindhoven, Netherlands
关键词
Paper; Fibrous network; Multi-scale models; Asymptotic homogenization; Hygro-mechanical properties; ELASTIC COMPOSITES; FIBER; HYGROEXPANSIVITY;
D O I
10.1016/j.mechmat.2017.01.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a multi-scale approach to predict the effective hygro-mechanical behaviour of paper sheets based on the properties of the underlying fibrous network. Despite the vast amount of literature on paper hygro-expansion, the functional dependence of the effective material properties on the micro-structural features remains yet unclear. In this work, a micro-structural model of the paper fibrous network is first developed by random deposition of the fibres within a planar region according to an orientation probability density function. Asymptotic homogenization is used to determine its effective properties numerically. Alternatively, two much more idealized micro-structural models are considered, one based on a periodic lattice structure with a regular network of perpendicular fibres and one based on the Voigt average. Despite their simplicity, they reproduce representative micro-structural features, such as the orientation anisotropy and network level hygro-elastic properties. These alternative models can be solved analytically, providing closed-form expressions that explicitly reveal the influence of the individual micro-scale parameters on the effective hygro-mechanical response. The trend predicted by the random network model is captured reasonably well by the two idealized models. The resulting hygro-mechanical properties are finally compared with experimental data reported in the literature, revealing an adequate quantitative agreement. (C) 2017 Elseviei Ltd. All rights reserved.
引用
收藏
页码:11 / 20
页数:10
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