Modelling the Material Resistance of Wood—Part 3: Relative Resistance in above- and in-Ground Situations—Results of a Global Survey
Brischke, Christian; Alfredsen, Gry; Humar, Miha; Conti, Elena; Cookson, Laurie; Emmerich, Lukas; Flæte, Per-Otto; Fortino, Stefania; Francis, Lesley; Hundhausen, Ulrich; Irbe, Ilze; Jacobs, Kordula; Klamer, Morten; Krzisnik, Davor; Lesar, Bostjan; Melcher, Eckhard; Meyer-Veltrup, Linda; Morrell, Jeffrey; Norton, Jack; Palanti, Sabrina; Presley, Gerald; Reinprecht, Ladislav; Singh, Tripti; Stirling, Rod; Venalainen, Martti; Westin, Mats; Wong, Andrew; Suttie, Ed
Peer reviewed, Journal article
Published version
Permanent lenke
https://hdl.handle.net/11250/2789024Utgivelsesdato
2021-05-08Metadata
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Originalversjon
Brischke, C.; Alfredsen, G.; Humar, M.; Conti, E.; Cookson, L.; Emmerich, L.; Flæte, P.O.; Fortino, S.; Francis, L.; Hundhausen, U.; Irbe, I.; Jacobs, K.; Klamer, M.; Kržišnik, D.; Lesar, B.; Melcher, E.; Meyer-Veltrup, L.; Morrell, J.J.; Norton, J.; Palanti, S.; Presley, G.; Reinprecht, L.; Singh, T.; Stirling, R.; Venäläinen, M.; Westin, M.; Wong, A.H.H.; Suttie, E. Modelling the Material Resistance of Wood—Part 3: Relative Resistance in above- and in-Ground Situations—Results of a Global Survey. Forests 2021, 12, 590. 10.3390/f12050590Sammendrag
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.