2010
DOI: 10.1007/s10853-010-4658-2
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Orthotropic properties of loblolly pine (Pinus taeda) strands

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Cited by 35 publications
(20 citation statements)
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“…Similar high CoV values for tensile Poisson's ratios published by [26,34] point to a natural high variability of the Poisson's ratios. The settlement of the Poisson's ratio values measured at standard climatic conditions with the average values for hardwoods listed in [12], show a reasonable similarity (see Table 2).…”
Section: Poisson's Ratiossupporting
confidence: 76%
“…Similar high CoV values for tensile Poisson's ratios published by [26,34] point to a natural high variability of the Poisson's ratios. The settlement of the Poisson's ratio values measured at standard climatic conditions with the average values for hardwoods listed in [12], show a reasonable similarity (see Table 2).…”
Section: Poisson's Ratiossupporting
confidence: 76%
“…The elastic constants for Pine in [21] were calculated using the orthotropic material model, assuming the symmetry of the compliance matrix. Orthotropic of the Pine is confirmed by experiments discussed in [13,14]. However, in the case of pine analyzed in [4], in which ultrasonic measurements of wood were carried out, the compliance matrix is non-symmetric (Table 3).…”
Section: Orthotropic Constants For Woodmentioning
confidence: 72%
“…Wood and wooden products are very popular materials used in construction engineering for buildings, bridges, towers and other structures. Wood is a complex, inhomogeneous and anisotropic material, but in engineering practice wood is often idealized as a homogeneous, orthotropic material [2,13,14,26,40,44,45]. Based on the orthotropic model, three principal orthogonal directions of elasticity for wood, i.e., longitudinal (L), tangential (T) and radial (R) are determined.…”
Section: Introductionmentioning
confidence: 99%
“…In other words, the mechanical behavior of the connections was solely dependent upon the properties of materials. Previous studies showed that material properties and failure behaviors associated with structure of the materials were critical to predict strengths of the materials (Jeong and Hindman [1] and Jeong et al, [2]).…”
Section: Introductionmentioning
confidence: 99%