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dc.contributor.authorBrischke, Christian
dc.contributor.authorAlfredsen, Gry
dc.contributor.authorHumar, Miha
dc.contributor.authorConti, Elena
dc.contributor.authorCookson, Laurie
dc.contributor.authorEmmerich, Lukas
dc.contributor.authorFlæte, Per-Otto
dc.contributor.authorFortino, Stefania
dc.contributor.authorFrancis, Lesley
dc.contributor.authorHundhausen, Ulrich
dc.contributor.authorIrbe, Ilze
dc.contributor.authorJacobs, Kordula
dc.contributor.authorKlamer, Morten
dc.contributor.authorKrzisnik, Davor
dc.contributor.authorLesar, Bostjan
dc.contributor.authorMelcher, Eckhard
dc.contributor.authorMeyer-Veltrup, Linda
dc.contributor.authorMorell, Jeffrey
dc.contributor.authorNorton, Jack
dc.contributor.authorPalanti, Sabrina
dc.contributor.authorPresley, Gerald
dc.contributor.authorReinprecht, Ladislav
dc.contributor.authorSingh, Tripti
dc.contributor.authorStirling, Rod
dc.contributor.authorVenalainen, Martti
dc.contributor.authorWestin, Mats
dc.contributor.authorWong, Andrew
dc.contributor.authorSuttie, Ed
dc.date.accessioned2021-10-11T11:20:10Z
dc.date.available2021-10-11T11:20:10Z
dc.date.created2021-08-24T12:51:08Z
dc.date.issued2021-05-06
dc.identifier.citationForests. 2021, 12 .en_US
dc.identifier.issn1999-4907
dc.identifier.urihttps://hdl.handle.net/11250/2789020
dc.description.abstractService 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.en_US
dc.language.isoengen_US
dc.publisherMDPI, Basel, Switzerlanden_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleModelling the Material Resistance of Wood—Part 2: Validation and Optimization of the Meyer-Veltrup Modelen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 by the authorsen_US
dc.source.pagenumber18en_US
dc.source.volume12en_US
dc.source.journalForestsen_US
dc.source.issue5en_US
dc.identifier.doi10.3390/f12050576
dc.identifier.cristin1928322
dc.relation.projectNorges forskningsråd: 297899en_US
dc.relation.projectEC/H2020/773324en_US
dc.source.articlenumber576en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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