Comprehensive Analysis of Glulam Delamination Though Finite Element Modelling Incorporating Physical and Mechanical Properties: A Case Study Using High Density HardwoodView Altmetrics View AltmetricsTools Lu, P., Gilbert, B. P., Kumar, C., McGavin, R. L. and Karampour, H. (2024) Comprehensive Analysis of Glulam Delamination Though Finite Element Modelling Incorporating Physical and Mechanical Properties: A Case Study Using High Density Hardwood. Research Square .
Article Link: ttps://doi.org/10.21203/rs.3.rs-3886752/v1 AbstractWith the ongoing emphasis on sustainable and eco-friendly construction, there is a rising demand for high-strength and high-stiffness engineered wood products. This trend presents both opportunities and challenges for the Australia's hardwood industry, particularly concerning native forest-grown spotted gum (Corymbia citriodora). Glue laminated (glulam) spotted gum beams cannot be confidently commercialised due to the difficulty for its highdensity to satisfy the bond integrity criteria (referred to as “delamination test”) for external products in accordance with the Australia and New Zealand Standard AS/NZS 1328.1 (1998). To investigate potential solutions for passing this delamination test, an accurate numerical model can be a valuable and time-efficient tool. The aim of this study is to develop and detail such a model, considering heat and mass transfer, drying stresses, plasticity and fracture propagation models, using COMSOL Multiphysics 5.5. The model was validated against a series of wetting and drying experiments on spotted gum glulam, considering both moisture content variation and crack propagation along the gluelines. Results from the validated model showed that delamination is principally due to the tensile stress applied to the gluelines. Through the comprehensive analysis of the moisture content and stress distributions during delamination test, alternative strategies for reducing delamination can be identified.
Repository Staff Only: item control page Download Statistics DownloadsDownloads per month over past year |