Christian Brischke (Avtor), Gry Alfredsen (Avtor), Miha Humar (Avtor), Elena Conti (Avtor), Laurie Cookson (Avtor), Lukas Emmerich (Avtor), Stefania Fortino (Avtor), Brendan N. Marais (Avtor), Eckhard Melcher (Avtor), Davor Kržišnik (Avtor), Boštjan Lesar (Avtor)

Povzetek

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.

Ključne besede

naravna odpornost;model odmerek-odziv;glivni razkroj;odpornost proti navlaževanju;vrednotenje življenjske dobe;adsorpcija vode;desorpcija vode;biological durability;dose-response model;fungal decay;moisture performance;service life prediction;water uptake;water release;wetting ability;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL BF - Biotehniška fakulteta
UDK: 630*8
COBISS: 62528003 Povezava se bo odprla v novem oknu
ISSN: 1999-4907
Št. ogledov: 132
Št. prenosov: 39
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: naravna odpornost;model odmerek-odziv;glivni razkroj;odpornost proti navlaževanju;vrednotenje življenjske dobe;adsorpcija vode;desorpcija vode;
Vrsta dela (COBISS): Članek v reviji
Strani: [17] str.
Letnik: 12
Zvezek: ǂiss. ǂ5
Čas izdaje: 2021
DOI: 10.3390/f12050576
ID: 14785367