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

Arciniegas Mosquera Andrès Felipe, Brancheriau Loïc, Lasaygues Philippe. 2015. Tomography in standing trees: revisiting the determination of acoustic wave velocity. Annals of Forest Science, 72 (6) : pp. 685-691.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : FORESTRY

Abstract : Context The quality of acoustic tomographic images in standing trees is mainly function of the accuracy of the acous- tic velocity computation. Improving the acoustic velocity determination is, furthermore, of great interest because acous- tic tools are widely used in nondestructive testing of wood. • Aims Four 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 be- tween a homogeneous material and wood. • Methods The experiments were performed using the con- ventional experimental protocol for the ultrasonic characteri- zation 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. • Results Computed 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. • Conclusion A combination of the Fisher and Hinkley methods in the same algorithm would yield the most accurate acoustic velocity determinations in the tomography of stand- ing trees. Key message Wood acoustic velocity determination is affect- ed by the wavelength and the detection algorithm used. The Fisher algorithm is optimal with high signal attenuation; oth- erwise, the Hinkley algorithm should be used. (Résumé d'auteur)

Mots-clés Agrovoc : Bois, Arbre, Propriété technologique, Propriété acoustique, Ultrason, tomographie, Vitesse, Son (acoustique), Méthode d'essai, Propriété physicochimique

Mots-clés complémentaires : Bagassa guianensis

Classification Agris : K50 - Processing of forest products
U30 - Research methods
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : Axe 2 (2014-2018) - Valorisation de la biomasse

Auteurs et affiliations

  • Arciniegas Mosquera Andrès Felipe, CIRAD-PERSYST-UPR BioWooEB (FRA)
  • Brancheriau Loïc, CIRAD-PERSYST-UPR BioWooEB (FRA) ORCID: 0000-0002-9580-7696
  • Lasaygues Philippe, CNRS (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/576145/)

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