Estimation of Flexural Tensile Strength as a Function of Shear of Timber Structures

Author:

Arroyo Felipe N.1,Borges Jéssica F.2ORCID,Junior Wanderlei M. Pereira3,Santos Herisson F.4,Oliveira Ivanildo A.4ORCID,Panzera Túlio H.5ORCID,Christoforo André L.1ORCID,Lahr Francisco A. R.6ORCID

Affiliation:

1. Department of Civil Engineering, Federal University of São Carlos, Highway Washington Luiz, s/n, São Carlos 13565-905, SP, Brazil

2. Department of Civil Engineering, Federal University of Alfenas, Highway José Aurélio Vilela, BR 267, Km 533, Cidade Universitária, Poços de Caldas 37715-400, MG, Brazil

3. Engineering College, Federal University of Catalão, Av. Dr. Lamartine Pinto de Avelar, Nº 1120, St. Universitário, Catalão 75705-220, GO, Brazil

4. Department of Civil Engineering, Federal Institute of Education Science and Technology of Rondônia, Juscelino Kubitschek Avenue, 2717–2853, Ariquemes 76872-847, RO, Brazil

5. Department of Mechanical Engineering, Federal University of São João del-Rei, Friar Orlando Square, 170, São João del Rei 35701-970, MG, Brazil

6. Department of Structural Engineering, School of Engineering of São Carlos, University of São Paulo, Trabalhador São Carlense Avenue, 400, São Carlos 13566-590, SP, Brazil

Abstract

To avoid the intrinsic difficulties regarding the characterization of wood (i.e., different applications in different directions), various normative documents present the relationships between properties; the Brazilian standard is of particular interest in this regard, because Brazil has a huge diversity of tree species from tropical forests, usually used in construction. In view of this, this research aimed to propose a new list of properties to be inserted in future versions of the Brazilian standards in order to help identify the species shear strength. It is expected that there is a correlation between the characteristic values of flexural strength (fm,k) and shear strength in the direction parallel to the wood fibers (fv,0,k), leading to models that make it possible to estimate one of the properties if the other is known, which was the main objective of this research. After finding a strong correlation between the properties, various regression models were evaluated. It can be concluded that the linear model composed only by the angular coefficient (equation with only one variable) presented a determination coefficient of 76.45%, which shows the good precision achieved in the estimation of one of the two variables compared if the other is known. Additionally, an attempt was made to define which probability distribution represents the resistance data by applying maximum likelihood (MLE), concluding that there is little difference between the representation by the normal distribution and the generalized extreme value (GEV) distribution. Another approach was to define the undermining coefficient to ensure the reliability of the prediction equation by the experiment-based calibration methodology defined by Eurocode.

Funder

CAPES

CNPq

Pró-Reitoria de Pesquisa, Inovação e Pós-Graduação of Instituto Federal de Rondônia

Publisher

MDPI AG

Subject

Forestry

Reference24 articles.

1. Structural response of cement-bonded wood composite panels as permanent formwork;Li;Compos. Struct.,2019

2. Technical Feasibility Study of the Use of Softwoods in Lattice Structure “Howe” Type for Roofing (Gaps between 8–18 Meters);Oliveira;Curr. J. Appl. Sci. Technol.,2019

3. Pull out Strength Evaluation of Steel Bars Bonded-in to 45° in Round Timbers of Corymbia citriodora Treated with CCA;Pigozzo;Int. J. Mater. Eng.,2017

4. Time of exposure at 60 °C service temperature: Influence on strength and modulus of elasticity in compression parallel to the grain of hardwood species;Almeida;Bioresources,2019

5. SNIF (Sistema Nacional de Informações Florestais) (2023, February 10). Definição de Floresta. Portal Do Governo Brasileiro 2019:1, Available online: https://snif.florestal.gov.br/pt-br/florestas-e-recursos-florestais/167-definicao-de-floresta.

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