Skip to Main content Skip to Navigation
Journal articles

Tomography in standing trees: revisiting the determination of acoustic wave velocity

Andrés Arciniegas Loïc Brancheriau * Philippe Lasaygues
* Corresponding author
Abstract : Abstract• ContextThe quality of acoustic tomographic images in standing trees is mainly function of the accuracy of the acoustic velocity computation. Improving the acoustic velocity determination is, furthermore, of great interest because acoustic tools are widely used in nondestructive testing of wood.• AimsFour different signal processing algorithms were used (1) to study the effect of the signal dynamic on the velocity determination, (2) to determine the validity range of each computation method, and (3) to compare the behavior between a homogeneous material and wood.• MethodsThe experiments were performed using the conventional experimental protocol for the ultrasonic characterization of materials in a tank (normal incidence transmission at 500 kHz). A polyurethane resin (homogeneous material) and two wood species (Bagassa guianensis Aubl., Milicia excelsa (Welw.) C.C. Berg) were used for the experiments.• ResultsComputed velocity increased as the noise level increased. The Hinkley method appeared to be the most exact when the noise level exceeded 10 dB. The Fisher method was that most suitable for very noisy signals. No difference was found between the resin and the wood samples.• ConclusionA combination of the Fisher and Hinkley methods in the same algorithm would yield the most accurate acoustic velocity determinations in the tomography of standing trees.Key messageWood acoustic velocity determination is affected by the wavelength and the detection algorithm used. The Fisher algorithm is optimal with high signal attenuation; otherwise, the Hinkley algorithm should be used.
Document type :
Journal articles
Complete list of metadatas

Cited literature [26 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01284203
Contributor : Bmc Bmc <>
Submitted on : Monday, March 7, 2016 - 1:45:35 PM
Last modification on : Thursday, August 22, 2019 - 2:10:06 PM
Document(s) archivé(s) le : Wednesday, June 8, 2016 - 2:06:39 PM

File

13595_2014_Article_416.pdf
Publication funded by an institution

Identifiers

Citation

Andrés Arciniegas, Loïc Brancheriau, Philippe Lasaygues. Tomography in standing trees: revisiting the determination of acoustic wave velocity. Annals of Forest Science, Springer Verlag/EDP Sciences, 2015, 72 (6), pp.685-691. ⟨10.1007/s13595-014-0416-y⟩. ⟨hal-01284203⟩

Share

Metrics

Record views

109

Files downloads

427