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Geometrical analysis of naturally grown timber for the design of load-bearing structures.

Authors :
Gata, Kevin Moreno
Spahn, Florian
Klinkel, Sven
Trautz, Martin
Source :
Research Directions: Biotechnology Design. 2024, Vol. 2, p1-14. 14p.
Publication Year :
2024

Abstract

Combining tradition and innovation, timber plays essential roles in building structures for architecture and engineering. Tree branching geometries and timber in its natural state often serve as sources of inspiration. However, the mechanical properties of naturally grown timber, inherently inconsistent and geometrically varied, remain insufficiently studied, particularly for construction and simulations. This knowledge gap perpetuates the prevalent use of straight, uniformly harvested timber while neglecting curved and bifurcated elements with smaller cross-sections. This research investigates the potential of naturally grown timber in structural design, emphasizing the importance of understanding the natural characteristics and growth patterns of trees to optimize timber use. The developed methodology leverages noninvasive technologies, such as computerized tomography (CT), to precisely capture the geometrical and material properties of wood. These data sources are then integrated to visualize cross-sectional geometries and material properties, forming the basis for our analytical approach. Utilizing generalized scaled boundary isogeometric analysis, the methodology enhances the accuracy and efficiency of simulations, aligning structural design with natural growth principles. This approach not only fosters sustainable resource practices by promoting the use of major tree parts but also transforms discarded materials into valuable resources. The paper concludes with a demonstration of this methodology applied in a practical construction scenario. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27529452
Volume :
2
Database :
Academic Search Index
Journal :
Research Directions: Biotechnology Design
Publication Type :
Academic Journal
Accession number :
183163768
Full Text :
https://doi.org/10.1017/btd.2024.12