{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T20:01:34Z","timestamp":1782417694496,"version":"3.54.5"},"reference-count":4,"publisher":"STEF92 Technology","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,15]]},"abstract":"<jats:p>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.\nThis 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.\nThe 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.<\/jats:p>","DOI":"10.5593\/sgem2024\/5.1\/s20.10","type":"proceedings-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T12:27:54Z","timestamp":1733315274000},"page":"75-82","source":"Crossref","is-referenced-by-count":1,"title":["DEVELOPMENT OF A GENERATOR OF GLUED LAMINATED TIMBER ELEMENTS SECTIONS USING ARTIFICIAL INTELLIGENCE"],"prefix":"10.5593","volume":"24","author":[{"given":"Daniela","family":"Tapusi","sequence":"first","affiliation":[{"name":"Technical University of Civil Engineering Bucharest","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrian","family":"Andronic","sequence":"additional","affiliation":[{"name":"Technical University of Civil Engineering Bucharest","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naomi","family":"Tufan","sequence":"additional","affiliation":[{"name":"Technical University of Civil Engineering Bucharest","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioana","family":"Teodorescu","sequence":"additional","affiliation":[{"name":"Technical University of Civil Engineering Bucharest","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruxandra","family":"Erbasu","sequence":"additional","affiliation":[{"name":"Technical University of Civil Engineering Bucharest","place":["Romania"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3602","reference":[{"key":"ref=1","doi-asserted-by":"crossref","unstructured":"[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","DOI":"10.1016\/j.istruc.2018.12.009"},{"key":"ref=2","doi-asserted-by":"crossref","unstructured":"[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","DOI":"10.1016\/j.istruc.2023.01.036"},{"key":"ref=3","doi-asserted-by":"crossref","unstructured":"[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","DOI":"10.1016\/j.engappai.2018.12.010"},{"key":"ref=4","doi-asserted-by":"crossref","unstructured":"[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","DOI":"10.1590\/1809-4430-eng.agric.v42nepe20210123\/2022"}],"event":{"name":"24th SGEM International Multidisciplinary Scientific GeoConference 2024","theme":"Earth and Planetary Sciences","location":"Albena, Bulgaria","acronym":"SGEM2024","number":"24","sponsor":["SGEM WORLD SCIENCE (SWS) Scholarly Society, Austria"],"start":{"date-parts":[[2024,7,1]]},"end":{"date-parts":[[2024,7,7]]}},"container-title":["SGEM International Multidisciplinary Scientific GeoConference\ufffd EXPO Proceedings","24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Ecology, Economics, Education and Legislation, Vol 24, Issue 5.1"],"original-title":[],"deposited":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T19:28:47Z","timestamp":1782415727000},"score":1,"resource":{"primary":{"URL":"https:\/\/epslibrary.at\/items\/e2cbab55-4e32-4fd8-8dd3-0fd8306bc1aa\/development-of-a-generator-of-glued-laminated-timber-elements-sections-using-artificial-in"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,15]]},"references-count":4,"URL":"https:\/\/doi.org\/10.5593\/sgem2024\/5.1\/s20.10","relation":{},"ISSN":["1314-2704"],"issn-type":[{"value":"1314-2704","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11,15]]}}}