Specimen Optimization for Characterizing Mixed-Mode Fracture in Wood Materials
| Authors: | Solenne Monzauge, Nathan J. Bechle, Loic Chrislin Nguedjio, Rostand Moutou Pitti |
| Year: | 2026 |
| Type: | Book Chapter |
| Station: | Forest Products Laboratory |
| DOI: | https://doi.org/10.13052/978-8-743-81592-1.5 |
| Source: | Fracture, Fatigue, Failure and Thermomechanics and Infrared Imaging. Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. |
Abstract
Wood is a complex material that is not only highly heterogeneous but also exhibits anisotropic behavior and high variability accentuated by the diversity of species. In this case, the presence of a defect leads in most cases to the initiation and propagation of cracks that can cause structural failure. It is therefore crucial to assess the stability of the crack and identify the fracture parameters in order to correctly estimate the effect of long-term aging on wooden structures. A numerical investigation of different geometric shapes for the Mixed Mode Crack Growth (MMCG) specimen is conducted to simultaneously reduce the energy restitution rate during propagation in mode 1, mode 2, and mixed-modes 1 and 2. Next, experimental tests are carried out with the optimized test specimens to propose a stability range and better monitor crack propagation. Digital Image Correlation (DIC) method is used to synchronize deformations with applied loading and automate the crack detection process. The results should improve both scientific knowledge of mixed-mode cracking test specimens and the determination of fracture parameters under complex loads for highly utilized wood species.