Journal
FORESTS
Volume 12, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/f12050590
Keywords
biological durability; dose-response model; fungal decay; moisture dynamics; moisture performance; service life prediction; water uptake and release; wetting ability
Categories
Funding
- Ministry of Education, Science and Sport (MIZS)-Slovenia
- Ministry of the Environment (YM)-Finland
- Forestry Commissioners (FC)-UK
- Research Council of Norway (RCN), Norway [297899]
- French Environment and Energy Management Agency (ADEME)-France
- French National Research Agency (ANR)-France
- Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)-Sweden
- Swedish Energy Agency (SWEA)-Sweden
- Swedish Governmental Agency for Innovation Systems (Vinnova)-Sweden
- Federal Ministry of Food and Agriculture (BMEL)-Germany
- Agency for Renewable Resources (FNR)-Germany
- European Union's Horizon 2020 research and innovation program [773324]
- Open Access Publication Funds of Goettingen University
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This study focused on durability-based designs with timber and utilized a material resistance model to predict decay rates in above-ground situations. The research surveyed laboratory and field test data globally to establish material-specific resistance dose values and adapt the model to in-ground exposure. The study demonstrated the relationship between decay rates in- and above-ground, the predictive power of laboratory indicators, and a method for incorporating these findings into a service life prediction tool.
Durability-based designs with timber require reliable information about the wood properties and how they affect its performance under variable exposure conditions. This study aimed at utilizing a material resistance model (Part 2 of this publication) based on a dose-response approach for predicting the relative decay rates in above-ground situations. Laboratory and field test data were, for the first time, surveyed globally and used to determine material-specific resistance dose values, which were correlated to decay rates. In addition, laboratory indicators were used to adapt the material resistance model to in-ground exposure. The relationship between decay rates in- and above-ground, the predictive power of laboratory indicators to predict such decay rates, and a method for implementing both in a service life prediction tool, were established based on 195 hardwoods, 29 softwoods, 19 modified timbers, and 41 preservative-treated timbers.
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