Modelling of load spectra containing clusters of less probable load cycles

Nagode, Marko (avtor), Klemenc, Jernej (avtor)

When the load is stochastic and the service life is a consequence of the fatigue process, the loading histories are transferred into load spectra using rainflow counting. Once the empirical densities of load cycles are known, their probability density is estimated. Here, different probability density mixtures and algorithms for their estimation have been compared according to their ability to model rainflow matrices. The estimated probability density should also consider loading cycles with a small probability. The main scientific contribution of this article is that procedures were identified, which enable more thorough consideration of those clusters with less probable load cycles.

• Jezik: Angleški jezik
• Ključne besede: rainflow counting, probability density function, load spectrum, finite mixture distributions, fatigue life
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Recenzirani rokopis
• Leto izida: 2021
• Št. strani: Str. 1-10
• Številčenje: Vol. 143
• PID: 20.500.12556/RUL-121869
• UDK: 519.876.5(045)
• ISSN pri članku: 0142-1123
• DOI: 10.1016/j.ijfatigue.2020.106006
• COBISS.SI-ID: 35679235
• Datum objave v RUL: 04.11.2020

Gradivo je del revije

• Naslov: International journal of fatigue
• Skrajšan naslov: Int. j. fatigue
• Založnik: Elsevier
• ISSN: 0142-1123
• COBISS.SI-ID: 25643520

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: rainflow števna metoda, gostota porazdelitve verjetnosti, obremenitveni spekter, končna mešanica porazdelitev, doba trajanja

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0182
• Naslov: Razvojna vrednotenja