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Modelling the material resistance of wood. Part 2, Validation and optimization of the Meyer-Veltrup model
ID Brischke, Christian (Avtor), ID Humar, Miha (Avtor), ID Kržišnik, Davor (Avtor), ID Lesar, Boštjan (Avtor), et al.

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:biological durability, dose-response model, fungal decay, moisture dynamics, moisture performance, service life prediction, water uptake, water release, wetting ability
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:BF - Biotehniška fakulteta
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2021
Št. strani:18 str.
Številčenje:Vol. 12, iss. 5, art. 576
PID:20.500.12556/RUL-135531 Povezava se odpre v novem oknu
UDK:630*8
ISSN pri članku:1999-4907
DOI:10.3390/f12050576 Povezava se odpre v novem oknu
COBISS.SI-ID:62528003 Povezava se odpre v novem oknu
Datum objave v RUL:17.03.2022
Število ogledov:1137
Število prenosov:95
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Gradivo je del revije

Naslov:Forests
Skrajšan naslov:Forests
Založnik:MDPI
ISSN:1999-4907
COBISS.SI-ID:3872166 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:06.05.2021

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:naravna odpornost, model odmerek-odziv, glivni razkroj, odpornost proti navlaževanju, vrednotenje življenjske dobe, adsorpcija vode, desorpcija vode

Projekti

Financer:EC - European Commission
Program financ.:ERA-NET, ForestValue
Akronim:CLICKdesign

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Program financ.:UK, Forestry Commissioners

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Program financ.:Research Council of Norway
Številka projekta:297899

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Program financ.:French Environment and Energy Management Agency (ADEME)

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Program financ.:French National Research Agency (ANR)

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Program financ.:Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)

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Program financ.:Swedish Energy Agency (SWEA)

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Program financ.:Germany, Federal Ministry of Food and Agriculture (BMEL)

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Program financ.:Germany, Agency for Renewable Resources (FNR)

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:773324
Naslov:Innovating forest-based bioeconomy
Akronim:ForestValue

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