Models to estimate longitudinal compressive strength of Brazilian hardwood based on apparent density

Autor: Edson Fernando Castanheira Rodrigues, Anderson Renato Vobornik Wolenski, Felipe Nascimento Arroyo, André Luiz Nonato Ferraz, Julio Cesar Molina, João Paulo Boff Almeida, Herisson Ferreira Dos Santos, Francisco Antonio Rocco Lahr, André Luis Christoforo, Eduardo Chahud, Roberto Vasconcelos Pinheiro, Vinicius Borges de Moura Aquino
Přispěvatelé: Universidade de São Paulo (USP), Universidade Federal de São Carlos (UFSCar), Fed Univ South & Southeast Para, Fed Inst Santa Catarina, Universidade Estadual de Maringá (UEM), Univ Estado Mato Grosso, Fed Univ Minas Gerais Belo Horizonte, Universidade Estadual Paulista (Unesp)
Rok vydání: 2021
Předmět:
Zdroj: Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
ISSN: 1930-2126
DOI: 10.15376/biores.16.1.1373-1381
Popis: Made available in DSpace on 2021-06-25T12:41:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-02-01 As wood is an orthotropic and natural material, there are several properties required for its use in civil construction. The apparent density has been used to estimate physical and mechanical properties of wood, as it is easy to determine experimentally, unlike other determinations, which involve the use of equipment available only in large research centers. Using the Brazilian standard ABNT NBR 7190 and linear and non-linear regression models, this research aimed to evaluate their accuracy in estimating the compressive strength parallel to the fibers (f(c0)) as well as their characteristic value (f(c0,k)). This study considered 72 tropical wood species from native forests that were divided into the 4 strength classes of this standard. For the set formed by all species, the linear polynomial model was the best fit, resulting in a determination coefficient of just over 70%. Univ Sao Paulo, Dept Struct Engn, Sao Carlos, Brazil Univ Fed Sao Carlos, Dept Civil Engn, Sao Carlos, Brazil Fed Univ South & Southeast Para, Dept Civil Engn, Santana Do Araguaia, Brazil Fed Inst Santa Catarina, Sao Carlos, Brazil Fed Inst Sci & Technol Rondonia, Ariquemes, Brazil Univ Estado Mato Grosso, Dept Civil Engn, Sinop, Brazil Fed Univ Minas Gerais Belo Horizonte, Dept Civil Engn, Belo Horizonte, MG, Brazil Univ Estadual Paulista, Dept Ind Wood Engn, Itapeva, Brazil Univ Estadual Paulista, Dept Ind Wood Engn, Itapeva, Brazil
Databáze: OpenAIRE