2013
DOI: 10.1016/j.biosystemseng.2012.12.010
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Determination of the influence of size and position of knots on load capacity and stress distribution in timber beams of Pinus sylvestris using finite element model

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Cited by 29 publications
(17 citation statements)
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“…First, it is seen that the visual classification by itself is not a reliable way to estimate the bending stress capacity of the element. This is basically due to the influence of the position of the knots, an aspect not considered by the visual classification method [ 33 ]. For example, one beam classified as rejected, NR-2, had a 29% higher corrected MOR than a beam classified as MEG, beam NR-3.…”
Section: Resultsmentioning
confidence: 99%
“…First, it is seen that the visual classification by itself is not a reliable way to estimate the bending stress capacity of the element. This is basically due to the influence of the position of the knots, an aspect not considered by the visual classification method [ 33 ]. For example, one beam classified as rejected, NR-2, had a 29% higher corrected MOR than a beam classified as MEG, beam NR-3.…”
Section: Resultsmentioning
confidence: 99%
“…The most relevant singularities considered in visual strength grading for structural sawn timber are knots and grain deviation (14). According to vande-Kuilen and Blass (15) the main features of visual grading standards are based on the most common causes of failure; grain deviation in tropical hardwoods and knots in the case of softwoods, because bending strength decreased with increasing knot size (16). According to Ridley-Ellis et al (17), visual grading does not accurately grade timber directly into strength classes (C14, C16, C18, C20, …), because the latter are so close to each other.…”
Section: Introductionmentioning
confidence: 99%
“…Some examples of potential uses of these species are residential construction, light framing systems, prefabricated load bearing floors and walls in multistory buildings, and long span glulam beams in buildings and civil structures. The design and modeling of wooden products and structures involving numerical simulations requires the full characterization of the elastic and strength properties of the wood (He et al 2001;Baño et al 2013;Nadir et al 2014).…”
Section: Introductionmentioning
confidence: 99%