Modelling the Material Resistance of Wood—Part 3: Relative Resistance in above- and in-Ground Situations—Results of a Global Survey

2021 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Modelling the Material Resistance of Wood—Part 3: Relative Resistance in above- and in-Ground Situations—Results of a Global Survey​
Brischke, C.; Alfredsen, G.; Humar, M.; Conti, E.; Cookson, L.; Emmerich, L. & Flæte, P. O. et al.​ (2021) 
Forests12(5) pp. 590​.​ DOI: https://doi.org/10.3390/f12050590 

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Authors
Brischke, Christian; Alfredsen, Gry; Humar, Miha; Conti, Elena; Cookson, Laurie; Emmerich, Lukas; Flæte, Per Otto; Fortino, Stefania; Francis, Lesley; Suttie, Ed; Hundhausen, Ulrich; Irbe, Ilze; Jacobs, Kordula; Klamer, Morten; Kržišnik, Davor; Lesar, Boštjan; Melcher, Eckhard; Meyer-Veltrup, Linda; Morrell, Jeffrey J.; Norton, Jack; Palanti, Sabrina; Presley, Gerald; Reinprecht, Ladislav; Singh, Tripti; Stirling, Rod; Venäläinen, Martti; Westin, Mats; Wong, Andrew H. H.
Abstract
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.
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.
Issue Date
2021
Journal
Forests 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Holzbiologie und Holzprodukte 
eISSN
1999-4907
Language
English
Sponsor
ForestValue
Open-Access-Publikationsfonds 2021

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