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dc.contributor.authorParracha, J.pt_BR
dc.contributor.authorPereira, M.pt_BR
dc.contributor.authorMaurício, A.pt_BR
dc.contributor.authorFaria, P.pt_BR
dc.contributor.authorLima, D.pt_BR
dc.contributor.authorTenório, M.pt_BR
dc.contributor.authorLina Nunespt_BR
dc.identifier.citation buildings11040173pt_BR
dc.description.abstractThe present study aims at evaluating the impact of anobiid damage on pine timber elements. Anobiid attack produces a diffuse damage of the elements with a set of tunnels in random directions and sizes, thus confusing quantification. Therefore, a method was developed based on X-ray micro-computed tomography (μ-XCT) to obtain, for naturally infested timber samples, an empirical correlation between lost material percentage (consumed by beetles) and timber apparent density (original, before degradation—OTD and residual, after degradation—RTD). The quantified density loss can then be used in further assessment of the structure. The results of the tests performed showed high correlation between original apparent density and lost material percentage (r2 = 0.60) and between residual apparent density and lost material percentage (r2 = 0.83), which confirms μ-XCT as a valuable tool to the required quantification. The loss of density results can be further applied on the definition of an assessment method for the evaluation of the residual strength of anobiids infested timber, thus contributing to reducing unnecessary replacement. The optimized procedure of the μ-XCT study for infested Maritime pine (Pinus pinaster) is presented and discussed in this article.pt_BR
dc.relationFCT PTDC/EPH-PAT/4684/2014 (DB-HERITAGE)pt_BR
dc.relationFCT PTDC/ECM-EST/1072/2014 (Pro-Timber)pt_BR
dc.relationFCT Pest-OE/CTE/UI4028/2011 (CERENA)pt_BR
dc.relationFCT UIDB/ 04625/2020 (CERIS)pt_BR
dc.subjectAnobiid infestationpt_BR
dc.subjectThree-dimensional reconstructionpt_BR
dc.subjectResidual apparent densitypt_BR
dc.subjectDamage assessmentpt_BR
dc.titleAssessment of the Density Loss in Anobiid Infested Pine Using X-ray Micro-Computed Tomographypt_BR
dc.description.volume11, 173pt_BR
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