CHARACTERISTIC STRENGTHS IN THE COMPRESSION AND IN THE STATIC BENDING AS PARAMETERS TO ESTIMATE CHARACTERISTIC SHEAR STRENGTH FOR TIMBER DESIGN

IF 0.6 4区 农林科学 Q4 FORESTRY
J. Almeida, A. R. V. Wolenski, E. Rodrigues, V. Araujo, T. Panzera, C. Campos, J. C. Molina, A. Christoforo, F. Lahr
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引用次数: 0

Abstract

ABSTRACT To simplify the characterization of wood species, the Brazilian standard document ABNT NBR 7190-1 (2022) establishes the determination of mechanical properties employing the characteristic strength in the compression parallel to grain (fc0,k). This mechanical property is estimated using the linear relation given by the following expression fv0,k = 0.12·fc0,k Brazilian and European standard documents support the estimation of fv0,k using relations among properties. However, the European guidelines in the EN 384 (2019) have used the conventional characteristic strength in the static bending test (fM,k). Thus, this study aimed to investigate the efficiency of the ratio fv0,k = 0.12·fc0,k for adopting 30 hardwoods. The variance analysis results demonstrate the divergence among the experimental outcomes and those values estimated using the relation cited. Therefore, regression models at two parameters were considered to obtain more accurate estimates of fv0,k by adopting fc0,k, and fM,k as independent variables. Regarding the results, the geometric (R² = 80.80%) and linear (R² = 74.19%) models were the most accurate for the estimates of fv0,k in terms of fc0,k, and fM,k, respectively. This fact evinces the good accuracy of the models under consideration, which may provide a more rigorous structural design compared to the correlation currently prescribed by the ABNT NBR 7190-1 (2022).
在压缩和静态弯曲中的特征强度作为参数估计木材设计的特征抗剪强度
为了简化木材种类的表征,巴西标准文件ABNT NBR 7190-1(2022)建立了利用平行于颗粒的压缩特征强度(f0,k)来测定机械性能的方法。该力学性能的估计使用线性关系给出如下表达式fv0,k = 0.12·f0,k,巴西和欧洲的标准文件支持fv0,k的估计使用性能之间的关系。然而,EN 384(2019)中的欧洲指南在静态弯曲试验中使用了传统的特征强度(fM,k)。因此,本研究旨在探讨比值fv0,k = 0.12·ff0,k对30种硬木采伐的效率。方差分析结果表明,实验结果与使用引用关系估计的值之间存在差异。因此,考虑两个参数下的回归模型,以f0,k和fM,k为自变量,获得更准确的fv0,k的估计。结果表明,几何模型(R²= 80.80%)和线性模型(R²= 74.19%)分别对f0,k和f0,k的估计最准确。这一事实证明所考虑的模型具有良好的准确性,与ABNT NBR 7190-1(2022)目前规定的相关性相比,它可以提供更严格的结构设计。
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来源期刊
Revista Arvore
Revista Arvore FORESTRY-
CiteScore
1.00
自引率
0.00%
发文量
32
审稿时长
4-8 weeks
期刊介绍: A Revista Árvore é um veículo de comunicação científica da Sociedade de Investigações Florestais – SIF. O jornal é de acesso gratuito, revisado por pares, que publica bimestralmente trabalhos científicos originais no campo da Ciência Florestal. As áreas temáticas para publicação são: Ambiência e Conservação da Natureza, Manejo Florestal, Silvicultura e Tecnologia da Madeira e Utilização de Produtos Florestais. A política editorial visa manter alta conduta ética em relação à publicação e aos seus funcionários, rigor na qualidade dos artigos científicos, seleção de revisores qualificados, respeito profissional aos autores e processo de tomada de decisão imparcial. A Revista Árvore publica artigos apenas em inglês. Artigos de revisão podem ser publicados se houver uma discussão relevante resumindo o estado da arte sobre o assunto. A revisão estrita da literatura não é aceita.
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