Damage evolution in wood – pattern recognition based on acoustic emission (AE) frequency spectra

Baensch, Franziska; Sause, Markus G.R.; Brunner, Andreas J.; Niemz, Peter (2015). Damage evolution in wood – pattern recognition based on acoustic emission (AE) frequency spectra Holzforschung, 69(3), pp. 357-365. De Gruyter 10.1515/hf-2014-0072

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

Architecture, Wood and Civil Engineering
Architecture, Wood and Civil Engineering > Institute for Materials and Wood Technology
BFH Centres > BFH Centre for Wood - Resource and Material

Name:

Baensch, Franziska;
Sause, Markus G.R.;
Brunner, Andreas J. and
Niemz, Peter

Subjects:

Q Science > Q Science (General)
Q Science > QC Physics
T Technology > T Technology (General)
T Technology > TH Building construction
T Technology > TJ Mechanical engineering and machinery

ISSN:

0018-3830

Publisher:

De Gruyter

Language:

English

Submitter:

Christelle Ganne-Chédeville

Date Deposited:

15 Apr 2020 11:01

Last Modified:

18 Aug 2020 13:08

Publisher DOI:

10.1515/hf-2014-0072

Uncontrolled Keywords:

acoustic emission crack growth damage evolution frequency spectrum microscopic damage mechanisms Spruce unsupervised pattern recognition

ARBOR DOI:

10.24451/arbor.11288

URI:

https://arbor.bfh.ch/id/eprint/11288

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