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Ultrasound computed tomography on standing trees: Accounting for wood anisotropy permits a more accurate detection of defects

Espinosa Luis, Brancheriau Loïc, Cortes Yolima, Prieto Flavio, Lasaygues Philippe. 2020. Ultrasound computed tomography on standing trees: Accounting for wood anisotropy permits a more accurate detection of defects. Annals of Forest Science, 77 (3):68, 13 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact
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Url - éditeur : https://rdcu.be/b7ebD

Quartile : Q1, Sujet : FORESTRY

Résumé : Context: Ultrasound computed tomography is a suitable tool for nondestructive evaluation of standing trees. Until now, to simplify the image reconstruction process, the transverse cross-section of trees has been considered as quasi-isotropic and therefore limiting the defect identification capability. Aims: An approach to solve the inverse problem for tree imaging is presented, using an ultrasound-based method (travel-time computed tomography) suited to the anisotropy of wood material and validated experimentally. Method : The proposed iterative method focused on finding a polynomial approximation of the slowness in each pixel of the image depending on the angle of propagation, modifying the curved trajectories by means of a raytracing method. This method allowed a mapping of specific elastic constants using nonlinear regression. Experimental validation was performed using sections of green wood from a pine tree (Pinus pinea L.), with configurations that include a healthy case, a centered, and an off-centered defect. Results: Images obtained using the proposed method led to a more accurate location of the defects compared to the filtered backprojection algorithm (isotropic hypothesis), considered as reference. Conclusion: The performed experiments demonstrated that considering the wood anisotropy in the imaging process led to a better defect detection compared to the use of a common imaging technique.

Mots-clés Agrovoc : tomographie, défaut du bois, ultrasonographie, technique ultrason, testage non destructif, arbre

Mots-clés complémentaires : Anisotropie, Orthotropie

Mots-clés libres : Wood, Orthotropy, Ultrasonic, Wave propagation

Classification Agris : K50 - Technologie des produits forestiers
F50 - Anatomie et morphologie des plantes
U30 - Méthodes de recherche

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Auteurs et affiliations

  • Espinosa Luis, Universidad Nacional de Colombia (COL) - auteur correspondant
  • Brancheriau Loïc, CIRAD-PERSYST-UPR BioWooEB (FRA) ORCID: 0000-0002-9580-7696
  • Cortes Yolima, Agencia de Renovación del Territorio (COL)
  • Prieto Flavio, Universidad Nacional de Colombia (COL)
  • Lasaygues Philippe, CNRS (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/596440/)

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