Damage evolution in wood – pattern recognition based on acoustic emission (AE) frequency spectra
Version
Published
Date Issued
2015
Author(s)
Type
Article
Language
English
Subjects
Abstract
Tensile tests of miniature spruce wood specimens have been performed to investigate the damage evolution in wood at the microscopic scale. For this purpose, the samples were stepwise tensile loaded in the longitudinal (L) and radial (R) directions and the damage evolution was monitored in real-time by acoustic emission (AE) and synchrotron radiation micro-computed tomography (SRμCT). This combination is of outstanding benefit as SRμCT monitoring provides an insight on the crack evolution and the final fracture at microscopic scale, whereas AE permits the detection of the associated accumulation and interaction of single damage events on all length scales with high time resolution. A significant drawback of the AE testing of wood has been overcome by means of calibrating the AE amplitudes with the underlying crack length development. Thus, a setup-dependent and wood species-dependent calibration value was estimated, which associates 1 μm.
Subjects
Q Science (General)
QC Physics
T Technology (General)
TH Building construction
TJ Mechanical engineering and machinery
Publisher DOI
Journal or Serie
Holzforschung
ISSN
1437-434X
Volume
69
Issue
3
Publisher
De Gruyter
Submitter
Ganne-ChédevilleC
Citation apa
Baensch, F., Sause, M. G. R., Brunner, A. J., & Niemz, P. (2015). Damage evolution in wood – pattern recognition based on acoustic emission (AE) frequency spectra. In Holzforschung (Vol. 69, Issue 3, pp. 357–365). De Gruyter. https://doi.org/10.24451/arbor.11288
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