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Standard Test Method ASTM D 7998-19 for the Cohesive Strength Development of Wood Adhesives
Published on: May 17, 2020
Shape Optimization and Experimental Investigation of Glue-Laminated Timber Beams
Paweł Szeptyński1, Dorota Jasińska1, Leszek Mikulski1
1Division of Structural Mechanics and Material Mechanics, Faculty of Civil Engineering, Cracow University of Technology, ul. Warszawska 24, 31-155 Kraków, Poland.
Optimizing glue-laminated timber beam shapes reduced material use by nearly 13% while maintaining load-carrying capacity. Maximizing capacity proved challenging due to material property variations.
Area of Science:
- Structural engineering
- Materials science
- Timber construction
Background:
- Glue-laminated timber (GLT) is a key construction material.
- Optimizing beam shapes can enhance structural performance and material efficiency.
- Understanding anisotropy and boundary conditions is crucial for GLT beam design.
Purpose of the Study:
- To determine the optimal shapes for glue-laminated timber beams.
- To minimize material usage (Vmin) for a fixed load-carrying capacity (LCC).
- To maximize load-bearing capacity (Qmax) for a fixed beam volume.
Main Methods:
- Formulated a control theory problem for beam shape optimization.
- Employed Pontryagin's maximum principle (PMP) for optimization.
- Utilized Dircol v. 2.1 software and 3D finite element analysis (FEA) in Abaqus.
- Produced and tested optimized beams (Vmin and Qmax) against reference beams.
Main Results:
- The Vmin optimization successfully reduced material usage by approximately 12.9% with comparable LCC.
- The Qmax optimization was less successful due to the high variability of GLT mechanical properties.
- Experimental results generally aligned with theoretical predictions for Vmin beams.
Conclusions:
- Shape optimization is effective for reducing material consumption in GLT beams.
- GLT material property variability poses challenges for maximizing load-bearing capacity through shape optimization.
- Further research into material characterization could improve Qmax optimization strategies.
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