3D micro-scale deformations of wood in bending: Synchrotron radiation μCT data analyzed with digital volume correlation

被引:115
作者
Forsberg, F. [1 ]
Mooser, R. [2 ]
Arnold, M. [3 ]
Hack, E. [2 ]
Wyss, P. [2 ]
机构
[1] Lulea Univ Technol, Div Expt Mech, Dept Appl Phys & Mech Engn, SE-97187 Lulea, Sweden
[2] Swiss Fed Labs Mat Testing & Res Empa, Elect Metrol Lab, CH-8600 Dubendorf, Switzerland
[3] Swiss Fed Labs Mat Testing & Res Empa, Wood Lab, CH-8600 Dubendorf, Switzerland
基金
瑞典研究理事会;
关键词
Digital volume correlation; Digital image correlation; Synchrotron; Micro-computed tomography; Pine wood; Microstructure; Three-point-bending; Displacement field; Deformation; 3D strain;
D O I
10.1016/j.jsb.2008.08.004
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A micro-scale three-point-bending experiment with a wood specimen was carried out and monitored by synchrotron radiation micro-computed tomography. The full three-dimensional wood structure of the 1.57 x 3.42 x 0.75 mm(3) specimen was reconstructed at cellular level in different loading states. Furthermore, the full three-dimensional deformation field of the loaded wood specimen was determined by digital volume correlation, applied to the reconstructed data at successive loading states. Results from two selected regions within the wood specimen are presented as continuous displacement and strain fields in both 2D and 3D. The applied combination of synchrotron radiation micro-computed tomography and digital volume correlation for the deformation analysis of wood under bending stress is a novel application in wood material science. The method offers the potential for the simultaneous observation of structural changes and quantified deformations during in situ micro-mechanical experiments. Moreover, the high spatial resolution allows studying the influence of anatomical features on the fracture behaviour of wood. Possible applications of this method range from bio-mechanical observations in fresh plant tissue to fracture mechanics aspects in structural timber. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:255 / 262
页数:8
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