Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain

• André Luis Christoforo ^[1] ; Vinicius Borges de Moura Aquino ^[2] ; José Silvio Govone ^[6] ; lfredo Manuel Pereira Geraldes Dias ^[3] ; Tulio Hallak Panzera ^[4] ; Francisco Antonio Rocco Lahr ^[5]
  1. [1] Universidade Federal de São Carlos

     Universidade Federal de São Carlos

     Brasil

     
  2. [2] Universidade Federal do Sul e Sudeste do Pará

     Universidade Federal do Sul e Sudeste do Pará

     Brasil

     
  3. [3] Universidade de Coimbra

     Universidade de Coimbra

     Coimbra (Sé Nova), Portugal

     
  4. [4] Universidade Federal de São João del-Rei

     Universidade Federal de São João del-Rei

     Brasil

     
  5. [5] Universidade de São Paulo

     Universidade de São Paulo

     Brasil

     
  6. [6] Department of Statistics, Applied Mathematics and Computation. State University of São Paulo. Brasil

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• Localización: Maderas: Ciencia y tecnología, ISSN 0717-3644, ISSN-e 0718-221X, Vol. 22, Nº. 3, 2020, págs. 281-290
• Idioma: inglés
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• Resumen

  • Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard establishes an estimator of the characteristic compressive strength parallel to grain of the wood, which may provide a different result when compared with the characteristic value coming from a suitable probability distribution model. Considering the strength results in the parallel compression to the grain of 45 wood species of the hardwood group, Normal, LogNormal, Weibull and Exponential probability distribution models were used for each specie with the purpose of determining the one with the highest adhesion. Calculated the char-acteristic values by the best probability model distribution, an analysis of variance (ANOVA) was performed in the estimation of the characteristic value of compressive strength, making it possible to identify the most significant terms of the models as well as the quality of the adjustment obtained on such models. The proposed regression model (R2 adj= 96,56 %) proved to be equivalent to the empirical model of the Brazilian standard. The model proposed here only depends on the mean and the lowest value obtained from the compressive strength in the parallel direction to the grain.