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Modeling the material resistance of wood—part 2: Validation and optimization of the meyer-veltrup model

  • Christian Brischke*
  • , Gry Alfredsen
  • , Miha Humar
  • , Elena Conti
  • , Laurie Cookson
  • , Lukas Emmerich
  • , Per Otto Flæte
  • , Stefania Fortino
  • , Lesley Francis
  • , Ulrich Hundhausen
  • , Ilze Irbe
  • , Kordula Jacobs
  • , Morten Klamer
  • , Davor Kržišnik
  • , Boštjan Lesar
  • , Eckhard Melcher
  • , Linda Meyer-Veltrup
  • , Jeffrey J. Morrell
  • , Jack Norton
  • , Sabrina Palanti
  • Gerald Presley, Ladislav Reinprecht, Tripti Singh, Rod Stirling, Martti Venäläinen, Mats Westin, Andrew H.H. Wong, Ed Suttie
*Corresponding author for this work
    • University of Göttingen
    • Norwegian Institute of Bioeconomy Research (NIBIO)
    • University of Ljubljana
    • CATAS
    • LJ Cookson Consulting
    • Norwegian Institute of Wood Technology (NTI)
    • Queensland Department of Agriculture and Fisheries
    • Latvian State Institute of Wood Chemistry (IWC)
    • Institut für Holztechnologie Dresden gemeinnützige GmbH
    • Danish Technological Institute (DTI)
    • Thünen Institute of Wood Research
    • Heinz-Piest-Institute of Craftsmen Techniques
    • University of the Sunshine Coast
    • National Research Council (CNR)
    • Oregon State University
    • Technical University of Zvolen
    • Scion
    • FPInnovations
    • Natural Resources Institute Finland (Luke)
    • RISE Research Institutes of Sweden
    • Universiti Malaysia Sarawak
    • Building Research Establishment

    Research output: Contribution to journal › Article › Scientific › peer-review

    210 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    Article number576
    JournalForests
    Volume12
    Issue number5
    DOIs
    Publication statusPublished - 2021
    MoE publication typeA1 Journal article-refereed

    Funding

    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.

    Keywords

    • Biological durability
    • Dose-response model
    • Fungal decay
    • Moisture dynamics
    • Moisture performance
    • Service life prediction
    • Water uptake and release
    • Wetting ability

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