Jernej Klemenc (Author), Gorazd Fajdiga (Author)

Abstract

When wood is used as a structural material, the fact that it is a highly inhomogeneous material, which significantly affects its static and fatigue properties, presents a major challenge to engineers. In this paper, a novel approach to modelling the fatigue-life properties of wood is presented. In the model, the common inverse-power-law relationship between the structural amplitude loads and the corresponding number of load cycles to failure is augmented with the influence of the wood’s mass density, the loading direction and the processing lot. The model is based on the two-parametric conditional Weibull’s probability density function with a constant shape parameter and a scale parameter that is a function of the previously mentioned parameters. The proposed approach was validated using the example of experimental static and fatigue-strength data from spruce beams. It turned out that the newly presented model is capable of adequately replicating the spruce’s S-N curves with a scatter, despite the relatively scarce amount of experimental data, which came from different production lots that were loaded in different directions and had a significant variation in density. Based on the experimental data, the statistical model predicts that the lower density wood has better fatigue strength.

Keywords

smrekovina;gostota lesa;statične lastnosti materiala;dinamična trdnost;Weibullova gostota porazdelitve verjetnosti;razširjeni inverzni potenčni zakon;spruce wood;wood density;static material characteristics;fatigue strength;Weibull’s probability density function;augmented inverse power law;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL BF - Biotechnical Faculty
UDC: 630*8
COBISS: 93092867 Link will open in a new window
ISSN: 1996-1944
Views: 201
Downloads: 69
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: smrekovina;gostota lesa;statične lastnosti materiala;dinamična trdnost;Weibullova gostota porazdelitve verjetnosti;razširjeni inverzni potenčni zakon;
Type (COBISS): Article
Pages: str. 1-15
Volume: ǂVol. ǂ15
Issue: ǂiss. ǂ2
Chronology: 2022
DOI: 10.3390/ma15020536
ID: 14271465