Comparative analisys of numerical models based on finite element analysis of black poplar plywood panels

  1. Manuel Julián Alía Martínez 1
  2. Andrés Sanz García 1
  3. Fernando Antoñanzas Torres 1
  4. Esteban Fraile García 1
  5. Francisco Javier Martínez de Pisón 1
  6. Javier Antoñanzas Torres 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Book:
Proceedings from the 18th International Congress on Project Management and Engineering: (Alcañiz, July 2014)

Publisher: Asociación Española de Ingeniería de Proyectos (AEIPRO)

ISBN: 978-84-617-2742-1

Year of publication: 2014

Pages: 1076-1084

Congress: CIDIP. Congreso Internacional de Ingeniería de Proyectos (18. 2014. Alcañiz)

Type: Conference paper

Abstract

Black poplar plywood panels are a relatively new composite with a wide range of potential applications. Specially, these panels are being used for decoration and structural proposes. However, a huge number of experimental tests are required to determine the mechanical properties of these composites prior being implemented as a structural element. Here, FEM simulations arise as a promising technique to predict the behaviour of the panels under different conditions. These rapid predictions will accelerate the introduction of plywood panels in civil engineering filed without affording big expenses. In this paper, two different approaches are tested using the commercial software ABAQUS©. In the first one, boards are modelled as a sum of individual plies with known properties while in the second one, boards are analysed as unique homogeneous entity. Both models are validated against the Kirchhoff-Love theory of plates. Results show that FEM simulations are able to accurately predict the deformation of plywood boards under bending forces. However, the more realistic homogeneous shell approach remains slightly far away from the results of the theory of plates. Therefore, future works should be focused on obtaining experimental data in order to fully understand and validate the numerical simulations.