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http://hdl.handle.net/10451/51551
Título: | Assessment of the Density Loss in Anobiid Infested Pine Using X-ray Micro-Computed Tomography |
Autor: | Parracha, João Pereira, Manuel Maurício, António Faria, Paulina Lima, Daniel F. Tenório, Marina Nunes, Lina |
Data: | Abr-2021 |
Editora: | MDPI |
Citação: | Parracha, J.; Pereira, M.; Maurício, A.; Faria, P.; Lima, D.F.; Tenório, M.; Nunes, L. Assessment of the Density Loss in Anobiid Infested Pine Using X-ray Micro-Computed Tomography. Buildings 2021, 11, 173. https://doi.org/10.3390/buildings11040173 |
Resumo: | The 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. |
Peer review: | yes |
URI: | http://hdl.handle.net/10451/51551 |
DOI: | 10.3390/buildings11040173 |
Aparece nas colecções: | cE3c - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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buildings-11-00173 (2).pdf | 3,72 MB | Adobe PDF | Ver/Abrir |
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