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

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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.

Language:English
Keywords:biological durability, dose-response model, fungal decay, moisture dynamics, moisture performance, service life prediction, water uptake, water release, wetting ability
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:18 str.
Numbering:Vol. 12, iss. 5, art. 576
PID:20.500.12556/RUL-135531 This link opens in a new window
UDC:630*8
ISSN on article:1999-4907
DOI:10.3390/f12050576 This link opens in a new window
COBISS.SI-ID:62528003 This link opens in a new window
Publication date in RUL:17.03.2022
Views:1903
Downloads:124
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Record is a part of a journal

Title:Forests
Shortened title:Forests
Publisher:MDPI
ISSN:1999-4907
COBISS.SI-ID:3872166 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:06.05.2021

Secondary language

Language:Slovenian
Keywords:naravna odpornost, model odmerek-odziv, glivni razkroj, odpornost proti navlaževanju, vrednotenje življenjske dobe, adsorpcija vode, desorpcija vode

Projects

Funder:EC - European Commission
Funding programme:ERA-NET, ForestValue
Acronym:CLICKdesign

Funder:Other - Other funder or multiple funders
Funding programme:Slovenia, Ministry of Education, Science and Sport (MIZS)

Funder:Other - Other funder or multiple funders
Funding programme:Finland, Ministry of the Environment (YM)

Funder:Other - Other funder or multiple funders
Funding programme:UK, Forestry Commissioners

Funder:Other - Other funder or multiple funders
Funding programme:Research Council of Norway
Project number:297899

Funder:Other - Other funder or multiple funders
Funding programme:French Environment and Energy Management Agency (ADEME)

Funder:Other - Other funder or multiple funders
Funding programme:French National Research Agency (ANR)

Funder:Other - Other funder or multiple funders
Funding programme:Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)

Funder:Other - Other funder or multiple funders
Funding programme:Swedish Energy Agency (SWEA)

Funder:Other - Other funder or multiple funders
Funding programme:Swedish Governmental Agency for Innovation Systems (Vinnova)

Funder:Other - Other funder or multiple funders
Funding programme:Germany, Federal Ministry of Food and Agriculture (BMEL)

Funder:Other - Other funder or multiple funders
Funding programme:Germany, Agency for Renewable Resources (FNR)

Funder:EC - European Commission
Funding programme:H2020
Project number:773324
Name:Innovating forest-based bioeconomy
Acronym:ForestValue

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