20.500.12556/RUL-173052 Initial insights into spruce wood fatigue behaviour using dynamic mechanical properties in low-cycle fatigue Damaged material invariably exhibits a lower resonance frequency than undamaged material due to its reduced stiffness. Under fatigue loading, damage accumulates until failure, so changes in resonance frequency can be utilised as a variable to predict fatigue life. Conventional fatigue life prediction methods have a low success rate, prompting the exploration of alternative approaches. We have presented a novel method for predicting the fatigue life of spruce wood based on changes in resonance frequency during fatigue, using a representative specimen (i.e., one out of five specimens tested, with four used for static strength reference). We conducted a low-cycle fatigue test and monitored the resonance frequency alongside the dynamic and static modulus of elasticity. All three types of data were employed to predict fatigue life using between 40% and 100% of the measurement data. Of the two fatigue life prediction methods investigated, the Weibull cycle density distribution using resonance frequency measurements proved most appropriate. The error decreases monotonically with the amount of resonance frequency measurement data used for fatigue life prediction, reaching its lowest value of 1% when the full resonance frequency dataset is used. The proposed fatigue life prediction method should be further validated with a larger sample size, as fatigue is inherently a statistical phenomenon. resonance frequency fatigue life prediction elastic modulus Weibull distribution lastna frekvenca napoved življenjske dobe modul elastičnosti Weibullova porazdelitev true false true Angleški jezik Slovenski jezik Članek v reviji 2025-09-12 09:58:49 2025-09-12 09:58:53 2025-11-01 04:06:42 0000-00-00 00:00:00 2025 0 0 Str. 1-15 iss. 8, [article no.] 1324 Vol. 16 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 630*812.78 1999-4907 10.3390/f16081324 248376323 RAZ_Gaberscek_Tuta_Gregor_2025.pdf RAZ_Gaberscek_Tuta_Gregor_2025.pdf 1 34D77130A1C5EAEFCBF4E1024A99FF30 30304d57beb383c020cc9c2cc02778fe1f17c814ef90a209823394dc0937d1a6 50848703-8fae-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=217219 https://www.mdpi.com/1999-4907/16/8/1324 1 29bf8a9a-8fae-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=217218 Biotehniška fakulteta 0 0 0