TY - JOUR
T1 - Modeling the material resistance of wood—part 2
T2 - Validation and optimization of the meyer-veltrup model
AU - Brischke, Christian
AU - Alfredsen, Gry
AU - Humar, Miha
AU - Conti, Elena
AU - Cookson, Laurie
AU - Emmerich, Lukas
AU - Flæte, Per Otto
AU - Fortino, Stefania
AU - Francis, Lesley
AU - Hundhausen, Ulrich
AU - Irbe, Ilze
AU - Jacobs, Kordula
AU - Klamer, Morten
AU - Kržišnik, Davor
AU - Lesar, Boštjan
AU - Melcher, Eckhard
AU - Meyer-Veltrup, Linda
AU - Morrell, Jeffrey J.
AU - Norton, Jack
AU - Palanti, Sabrina
AU - Presley, Gerald
AU - Reinprecht, Ladislav
AU - Singh, Tripti
AU - Stirling, Rod
AU - Venäläinen, Martti
AU - Westin, Mats
AU - Wong, Andrew H.H.
AU - Suttie, Ed
N1 - Funding Information:
G.A., C.B., 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 Education, 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; and the 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 the Goettingen University.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021
Y1 - 2021
N2 - Service life planning with timber requires reliable models for quantifying the effects of exposure-related parameters and the material-inherent resistance of wood against biotic agents. The Meyer-Veltrup model was the first attempt to account for inherent protective properties and the wetting ability of wood to quantify resistance of wood in a quantitative manner. Based on test data on brown, white, and soft rot as well as moisture dynamics, the decay rates of different untreated wood species were predicted relative to the reference species of Norway spruce (Picea abies). The present study aimed to validate and optimize the resistance model for a wider range of wood species including very durable species, thermally and chemically modified wood, and preservative treated wood. The general model structure was shown to also be suitable for highly durable materials, but previously defined maximum thresholds had to be adjusted (i.e., maximum values of factors accounting for wetting ability and inherent protective properties) to 18 instead of 5 compared to Norway spruce. As expected, both the enlarged span in durability and the use of numerous and partly very divergent data sources (i.e., test methods, test locations, and types of data presentation) led to a decrease in the predictive power of the model compared to the original. In addition to the need to enlarge the database quantity and improve its quality, in particular for treated wood, it might be advantageous to use separate models for untreated and treated wood as long as the effect of additional impact variables (e.g., treatment quality) can be accounted for. Nevertheless, the adapted Meyer-Veltrup model will serve as an instrument to quantify material resistance for a wide range of wood-based materials as an input for comprehensive service life prediction software.
AB - Service life planning with timber requires reliable models for quantifying the effects of exposure-related parameters and the material-inherent resistance of wood against biotic agents. The Meyer-Veltrup model was the first attempt to account for inherent protective properties and the wetting ability of wood to quantify resistance of wood in a quantitative manner. Based on test data on brown, white, and soft rot as well as moisture dynamics, the decay rates of different untreated wood species were predicted relative to the reference species of Norway spruce (Picea abies). The present study aimed to validate and optimize the resistance model for a wider range of wood species including very durable species, thermally and chemically modified wood, and preservative treated wood. The general model structure was shown to also be suitable for highly durable materials, but previously defined maximum thresholds had to be adjusted (i.e., maximum values of factors accounting for wetting ability and inherent protective properties) to 18 instead of 5 compared to Norway spruce. As expected, both the enlarged span in durability and the use of numerous and partly very divergent data sources (i.e., test methods, test locations, and types of data presentation) led to a decrease in the predictive power of the model compared to the original. In addition to the need to enlarge the database quantity and improve its quality, in particular for treated wood, it might be advantageous to use separate models for untreated and treated wood as long as the effect of additional impact variables (e.g., treatment quality) can be accounted for. Nevertheless, the adapted Meyer-Veltrup model will serve as an instrument to quantify material resistance for a wide range of wood-based materials as an input for comprehensive service life prediction software.
KW - Biological durability
KW - Dose-response model
KW - Fungal decay
KW - Moisture dynamics
KW - Moisture performance
KW - Service life prediction
KW - Water uptake and release
KW - Wetting ability
UR - http://www.scopus.com/inward/record.url?scp=85105566610&partnerID=8YFLogxK
U2 - 10.3390/f12050576
DO - 10.3390/f12050576
M3 - Article
AN - SCOPUS:85105566610
SN - 1999-4907
VL - 12
JO - Forests
JF - Forests
IS - 5
M1 - 576
ER -