1. Predicting the Outdoor Moisture Performance of Wood Based on Laboratory Indicators
- Author
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Manuel S. Schulz, Anne-Cathrin Jaeger, Lukas Emmerich, Miha Humar, Marten Sievert, Christian Brischke, and Arne Beulshausen
- Subjects
0106 biological sciences ,material resistance ,Preservative ,EN 16818 ,vrednotenje življenjske dobe ,Field tests ,service life prediction ,01 natural sciences ,residual moisture content ,010608 biotechnology ,Water uptake ,udc:630*1 ,absorption-desorption tests ,Water content ,040101 forestry ,Moisture ,Residual moisture ,Forestry ,lcsh:QK900-989 ,04 agricultural and veterinary sciences ,Pulp and paper industry ,testi adsorpcije in desorpcije ,odpornost lesa ,Permeability (earth sciences) ,Service life ,lcsh:Plant ecology ,0401 agriculture, forestry, and fisheries ,Environmental science ,vlažnost lesa - Abstract
The service life of wood in outdoor use under humid conditions is mainly determined by its material resistance and the exposure situation. Different standards such as EN 350 (2016) point on the relevance of wood&rsquo, s resistance against moisture for its expected service life. Recently, different standardized but also numerous nonstandardized methods were suggested to test the water permeability of wooden materials. In the context of this study, different European-grown soft- and hardwoods, tropical hardwoods, modified wood and wood treated with water- and oil-borne preservatives were subjected to floating and submersion tests according to CEN/TS 16818 (2018) and different short-term water uptake and release tests. Moisture performance data from field tests with the same materials were analyzed and used to assess the predictive power of different laboratory moisture indicators. The moisture characteristics suggested by CEN/TS 16818 (2018)&mdash, rm168 (residual moisture content after water uptake and release processes) and res312 (residue as a percentage of the absorbed moisture)&mdash, showed the little potential to predict the outdoor moisture performance of the tested materials. In contrast, the mean moisture content during absorption and desorption (MCmean) predicted well the outdoor moisture performance of the materials under test. Short-term water uptake and release of small specimens also showed high predictive power.
- Published
- 2020
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