Modelling the material resistance of wood—Part 3: Relative resistance in above and in ground situations—Results of a global survey
Number of Authors: 282021 (English)In: Forests, E-ISSN 1999-4907, Vol. 12, no 5, article id 590
Article in journal (Refereed) Published
Abstract [en]
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. © 2021 by the authors..
Place, publisher, year, edition, pages
MDPI AG , 2021. Vol. 12, no 5, article id 590
Keywords [en]
Biological durability, Dose–response model, Fungal decay, Moisture dynamics, Moisture performance, Service life prediction, Water uptake and release, Wetting ability, Decay (organic), Forecasting, Surveys, Timber, Exposure conditions, Field test data, Material resistance, Predictive power, Relative resistance, Specific resistances, Wood properties, Hardwoods, Decay, Exposure, Forecasts, Indicators, Resistance
National Category
Wood Science
Identifiers
URN: urn:nbn:se:ri:diva-54371DOI: 10.3390/f12050590Scopus ID: 2-s2.0-85105575597OAI: oai:DiVA.org:ri-54371DiVA, id: diva2:1568934
Note
Funding details: Horizon 2020 Framework Programme, H2020, 773324; Funding details: Agence Nationale de la Recherche, ANR; Funding details: VINNOVA; Funding details: Svenska Forskningsrådet Formas; Funding details: Agence de l'Environnement et de la Maîtrise de l'Energie, ADEME; Funding details: Energimyndigheten; Funding details: Norges Forskningsråd, 297899; Funding details: Bundesministerium für Ernährung und Landwirtschaft, BMEL; Funding details: Fachagentur Nachwachsende Rohstoffe, FNR; Funding details: Ympäristöministeriö; Funding text 1: C.B., G.A., S.F. and E.S. received funding in the frame of the research project CLICKdesign, which is supported under the umbrella of ERA-NET Cofund ForestValue by the Ministry of Edu-cation, Science and Sport (MIZS)?Slovenia; The Ministry of the Environment (YM)?Finland; The Forestry Commissioners (FC)?UK; Research Council of Norway (RCN, 297899)?Norway; The French Environment and Energy Management Agency (ADEME) and The French National Research Agency (ANR)?France; The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS), Swedish Energy Agency (SWEA), Swedish Governmental Agency for Innovation Systems (Vinnova)?Sweden; Federal Ministry of Food and Agriculture (BMEL) and Agency for Renewable Resources (FNR)?Germany. ForestValue has received funding from the European Union?s Horizon 2020 research and innovation program under grant agreement N? 773324. We acknowledge support by the Open Access Publication Funds of Goettingen University.
2021-06-182021-06-182024-07-04Bibliographically approved