On the inverse identification of wood elastic properties using a DIC-based FEMU approach

João Henriques, José Xavier, António Andrade-Campos

Research output: Contribution to journalArticlepeer-review


Purpose: This work aims to identify the linear elastic orthotropic material paramters of Pinus pinaster Ait. wood, using full-field measurements and an inverse identification strategy based on the finite element (FE) method updating technique. Design/methodology/approach: Compression tests are carried out under uniaxial and quasi-static loading conditions on wood specimens oriented on the radial-tangential (RT) plane, with different grain orientations. Full-field displacements and strains are measured using digital image correlation (DIC), which are then used as a reference in the identification procedure. A FE model is implemented assuming plane stress conditions, where wood is modelled as an orthotropic homogeneous material. Based on the numerical results, a synthetic image reconstruction scheme is implemented to synthetically deform the reference experimental image, which is then processed by DIC and further compared to the experimental results. Findings: The results for both approaches were similar when both specimen configurations were used in a single run. However, when using the DIC-based FEMU approach with the on-axis configuration, the identified modulus of elasticity in the tangential direction and shear modulus are closer to the reference values. Originality/value: This approach ensures a fair comparison between both sets of data since the full-field strain maps are obtained through the same filter and therefore have the same strain formulation, spatial resolution and data filtering. Firstly, the identification is performed using a single configuration, either the on-axis or the off-axis specimen. Secondly, the identification is carried out by merging data from both on-axis and off-axis configurations.

Original languageEnglish
Issue number1
Early online date18 Oct 2022
Publication statusPublished - 8 Feb 2023


  • Digital image correlation
  • Finite element method updating
  • Inverse identification
  • Orthotropic elasticity
  • Virtual experiments
  • Wood


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