Modeling the material resistance of wood—part 2:Validation and optimization of the meyer-veltrup model
Autor: | Brischke, Christian, Alfredsen, Gry, Humar, Miha, Conti, Elena, Cookson, Laurie, Emmerich, Lukas, Flæte, Per-Otto, Fortino, Stefania, Francis, Lesley, Hundhausen, Ulrich, Irbe, Ilze, Jacobs, Kordula, Klamer, Morten, Krzisnik, Davor, Lesar, Bostjan, Melcher, Eckhard, Meyer-Veltrup, Linda, Morell, Jeffrey, Norton, Jack, Palanti, Sabrina, Presley, Gerald, Reinprecht, Ladislav, Singh, Tripti, Stirling, Rod, Venalainen, Martti, Westin, Mats, Wong, Andrew, Suttie, Ed |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
fungal decay
Moisture performance biological durability dose-response model moisture dynamics moisture performance service life prediction water uptake and release wetting ability Water uptake and release Biological durability Wetting ability Moisture dynamics Fungal decay QK900-989 Plant ecology Dose-response model Service life prediction |
Zdroj: | Brischke, C, Alfredsen, G, Humar, M, Conti, E, Cookson, L, Emmerich, L, Flæte, P O, Fortino, S, Francis, L, Hundhausen, U, Irbe, I, Jacobs, K, Klamer, M, Kržišnik, D, Lesar, B, Melcher, E, Meyer-Veltrup, L, Morrell, J J, Norton, J, Palanti, S, Presley, G, Reinprecht, L, Singh, T, Stirling, R, Venäläinen, M, Westin, M, Wong, A H H & Suttie, E 2021, ' Modeling the material resistance of wood—part 2 : Validation and optimization of the meyer-veltrup model ', Forests, vol. 12, no. 5, 576 . https://doi.org/10.3390/f12050576 Forests Volume 12 Issue 5 Forests, Vol 12, Iss 576, p 576 (2021) Forests 12 (2021): Article number 576. doi:10.3390/f12050576 info:cnr-pdr/source/autori:Brischke C., Alfredsen G., Humar M., Conti E., Cookson L., Emmerich L., Flæte P.O., Fortino S., Francis L., Hundhausen U., Irbe I., Jacobs K., Klamer M., Kr?i?nik D., Lesar B., Melcher E., Meyer-Veltrup L., Morrell J.J., Norton J., Palanti S., Presley G., Reinprecht L., Singh T., Stirling R.R., Venäläinen M., Westin M., Wong A.H.H., Suttie E./titolo:Modeling the Material Resistance of Wood--Part 2: Validation and Optimization of the Meyer-Veltrup Model/doi:10.3390%2Ff12050576/rivista:Forests/anno:2021/pagina_da:Article number 576/pagina_a:/intervallo_pagine:Article number 576/volume:12 |
DOI: | 10.3390/f12050576 |
Popis: | 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. |
Databáze: | OpenAIRE |
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