Influence of moisture content on physical and mechanical properties of Calophyllum sp wood

Due to its excellent resistance to traction and compression, wood is regularly used in furniture, window frames and in structures and sealing of homes and buildings. Due to the anisotropy and complexity of the material, its properties vary depending on its intrinsic anatomical characteristics and ex...

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Bibliographic Details
Published in:Ciência florestal 2023-09, Vol.33 (3), p.e70446
Main Authors: Arroyo, Felipe Nascimento, Fraga, Iuri Fazolin, Ruthes, Heloiza Candeia, Soares, Larissa Soriani Zanini Ribeiro, Aquino, Vinícius Borges de Moura, Christoforo, André Luis, Lahr, Francisco Antonio Rocco
Format: Article
Language:eng ; por
Subjects:
ECOLOGY
ENVIRONMENTAL STUDIES
FORESTRY
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Summary:Due to its excellent resistance to traction and compression, wood is regularly used in furniture, window frames and in structures and sealing of homes and buildings. Due to the anisotropy and complexity of the material, its properties vary depending on its intrinsic anatomical characteristics and external factors, such as species, moisture content, acting requests, among others. The Brazilian standard provides linear models for estimating and correcting all strength and stiffness properties as a function of the moisture content of the wood. However, due to its characteristics, there may not be a linear variation of the physical and mechanical properties in relation to the moisture content. Thus, this research aims to evaluate and analyze the influence of moisture content on 15 properties of Calophyllum sp. The reliability of the Brazilian standard equation for correcting strength and stiffness values as a function of humidity (U% to 12%) was evaluated, in addition to analyzing, through ANOVA, whether there is a change in the properties when they are at the saturation point of the fiber and 12% moisture. Of the 15 properties analyzed, 4 did not change, contrary to the linear models set out in the Brazilian standard. In addition, it was possible to note that the Brazilian standard can estimate with an error of up to 76% when correcting the humidity to 12%.
ISSN:0103-9954
1980-5098
1980-5098
DOI:10.5902/1980509870446