Issue |
Mechanics & Industry
Volume 23, 2022
|
|
---|---|---|
Article Number | 28 | |
Number of page(s) | 18 | |
DOI | https://doi.org/10.1051/meca/2022025 | |
Published online | 06 December 2022 |
Regular Article
A multi-model approach for wooden furniture failure under mechanical load
1
Université Gustave Eiffel, Laboratoire Modélisation et Simulation Multi Echelle, MSME UMR 8208 CNRS, 77454 Marne-la-Vallée, France
2
Institut technologique Forêt Cellulose Bois-Construction Ameublement, FCBA, 10 rue Galilée 77420 Champs-sur-Marne, France
* e-mail: luc.chevalier@univ-eiffel.fr
Received:
31
January
2022
Accepted:
18
September
2022
Furniture failure generally appears at junctions between wooden parts. Failure prediction is a challenging problem considering the various technologies used for the assembly, the geometric dimensions of the wooden assembled parts and of the assembly components as well as the material properties of the wooden parts. Being able to provide a procedure for failure analysis is of great interest to the furniture industry. This paper proposes a multi-model approach in 3 steps: (i) a simplified global modeling of the whole structure (high loft bed) taking into account the specific geometry of each wooden part (beams or plates), (ii) a three-dimensional local numerical analysis of a through-bolt junction subjected to the mean critical load identified during a series of experimental compression tests to determine the local stresses in such a corner-type junction, and (iii) the application of an ad hoc failure criterion adapted to the anisotropic behavior of wood for failure prediction in through-bolt junctions.
Key words: Wooden furniture / junction strength / multi-model / failure criteria
© L. Chevalier et al., Published by EDP Sciences 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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