COMPARATIVE ANALYSIS OF THE MECHANICAL PERFORMANCE OF TIMBER TRUSSES STRUCTURAL TYPOLOGIES APPLYING COMPUTATIONAL INTELLIGENCE

ABSTRACT Timber application is viable in constructive systems because of its mechanical properties, suitable for structural applications in engineering. Timber is even more interesting to use since it is a renewable source. Among its several applications, timber is widely used in roofing structures,...

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Bibliographic Details
Main Authors: Matheus Henrique Morato Moraes, Iuri Fazolin Fraga, Wanderlei Malaquias Pereira Junior, André Luis Christoforo
Format: Article
Language:English
Published: Sociedade de Investigações Florestais 2022-01-01
Series:Revista Árvore
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622022000100204&tlng=en
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Summary:ABSTRACT Timber application is viable in constructive systems because of its mechanical properties, suitable for structural applications in engineering. Timber is even more interesting to use since it is a renewable source. Among its several applications, timber is widely used in roofing structures, with several typologies of trusses. Therefore, it is necessary to understand the behavior of plane truss in different loading conditions, including dead load, service load, and wind suction load. The mechanical performance of two trusses (Pratt and Scissor) was analyzed and compared, according to the Brazilian standard of timber structures ABNT NBR 7190 (1997) (methods and calculus premises), with the finite element method, an algorithm of swarm intelligence optimization (structure weight minimization), and a parametric study. Based on minimum weight and maximum displacement as a function of span variation, Pratt typology presented lower weight (3–19%) when compared with Scissor, under the same span and loading conditions. Regarding maximum displacements, Pratt typology presented lower displacement values than the Scissor typology. The difference between these values ranged from two to seven times, indicating that Scissor typology can better distribute normal loads (maximum displacement closer to the normative limit displacement). Variance analysis (5% of significance) confirmed these results.
ISSN:1806-9088