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Title: DEVELOPMENT OF A GENERATOR OF GLUED LAMINATED TIMBER ELEMENTS SECTIONS USING ARTIFICIAL INTELLIGENCE
DEVELOPMENT OF A GENERATOR OF GLUED LAMINATED TIMBER ELEMENTS SECTIONS USING ARTIFICIAL INTELLIGENCE

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Daniela ?apu?i; Adrian Andronic; Naomi Tufan; Ioana Teodorescu; Ruxandra Erba?u
10.5593/sgem2024/5.1/s20.10
10.5593/sgem2024/5.1
1314-2704
978-619-7603-72-9
English
24
5.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Ecology and Environmental Protection
Within the current framework of approaching different directions of carbon emissions reduction policy, wood fits as an environmentally friendly building material with low production in terms of energy consumption. In this manner, timber combines its qualities such as high strength/weight ratio and rigidity/weight, low specific gravity, recovery/recycling that make it competitive with classic building materials with the demands of climate change green deal. One specific attention has to be given to the design and execution of civil structures in terms of geometric dimensioning of structures, which favors constant rectangular sections, easy to size.
This article proposes the initialization of a generator of optimized geometries for glued laminated timber (GLT) structural elements that can provide in a reasonable time through artificial intelligence different solutions. Otherwise, this would have required the use of topological optimization by the finite element method with long analysis times. From a scientific point of view, this approach has been applied only on small part elements in order to solve specific problems of the artificial intelligence-optimized design chain.
The results demonstrate the reduction of the amount of material, the improvement of production costs and the optimization of the mechanical behavior of the structural elements in glued laminated timber.
[1] Mayencourt, P., & Mueller, C. (2019). Structural Optimization of Cross-laminated Timber Panels in One-way Bending. Structures, 18, Pages 48-59, https://doi.org/10.1016/j.istruc.2018.12.009
[2] de Vito Jr., AF, Vicente, WM, & Xie, YM (2023). Topology optimization applied to the core of structural engineered wood product. Structures, 48, DOI:10.1016/j.istruc.2023.01.036
[3] Pech, S., Kandler, G., Lukacevic, M., & Fuss, J. (2019). Metamodel assisted optimization of glued laminated timber beams by using metaheuristic algorithms. Engineering Applications of Artificial Intelligence, 79, https://doi.org/10.1016/j.engappai.2018.12.010
[4] Christoforo, A., de Moraes, M., Fraga, I., Pereira Junior, W., & Lahr, F. (2022). Computational Intelligence Applied in Optimal Design of Wooden Plane Trusses. Eng. agric., Special Issue: Artificial Intelligence, 42, https://doi.org/10.1590/1809-4430-Eng.Agric.v42nepe20210123/2022
[5] Korus, K., Salamak, M., & Jasinski, M. (2021). Optimization of geometric parameters of arch bridges using visual programming FEM components and genetic algorithm. Engineering Structures, 241, https://doi.org/10.1016/j.engstruct.2021.112465
This paper was published within the frame of the research grant "Numerical methods for topological optimization of structural elements from anisotropic natural materials" funded by the Technical University of Civil Engineering Bucharest ????????????????????????.
conference
https://doi.org/10.5593/sgem2024/5.1/s20.10
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 7 July, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
75-82
1 - 7 July, 2024
website
9960
timber, glued laminated timber, artificial intelligence, environment, carbon emissions

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