Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior

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...

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Veröffentlicht in:Holzforschung 2015-10, Vol.69 (8), p.1015-1025
Hauptverfasser: Baensch, Franziska, Zauner, Michaela, Sanabria, Sergio J., Sause, Markus G.R., Pinzer, Bernd R., Brunner, Andreas J., Stampanoni, Marco, Niemz, Peter
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container_issue 8
container_start_page 1015
container_title Holzforschung
container_volume 69
creator Baensch, Franziska
Zauner, Michaela
Sanabria, Sergio J.
Sause, Markus G.R.
Pinzer, Bernd R.
Brunner, Andreas J.
Stampanoni, Marco
Niemz, Peter
description 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 crack area generating of 0.0038 mV in the detected AE amplitude. Furthermore, for both L and R specimens, AE signals were classified into two clusters by using a frequency-based approach of unsupervised pattern recognition. The shares of AE signals of both clusters correlate with the ratio of the relative crack area of the interwall and transwall cracks gained from the fractographic analysis of SRμCT scans.
doi_str_mv 10.1515/hf-2014-0152
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source De Gruyter journals
subjects acoustic emission (AE)
Alloys
damage evolution
Evolution
monitoring
spruce
synchrotron radiation micro-computed tomography (SRμCT)
tensile test
Tomography
unsupervised pattern recognition (UPR)
title Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior
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