Modelling of load spectra containing clusters of less probable load cycles

Nagode, Marko (author), Klemenc, Jernej (author)

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.

• Language: English
• Keywords: rainflow counting, probability density function, load spectrum, finite mixture distributions, fatigue life
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Author Accepted Manuscript
• Year: 2021
• Number of pages: Str. 1-10
• Numbering: Vol. 143
• PID: 20.500.12556/RUL-121869
• UDC: 519.876.5(045)
• ISSN on article: 0142-1123
• DOI: 10.1016/j.ijfatigue.2020.106006
• COBISS.SI-ID: 35679235
• Publication date in RUL: 04.11.2020

Record is a part of a journal

• Title: International journal of fatigue
• Shortened title: Int. j. fatigue
• Publisher: Elsevier
• ISSN: 0142-1123
• COBISS.SI-ID: 25643520

Secondary language

• Language: Slovenian
• Keywords: rainflow števna metoda, gostota porazdelitve verjetnosti, obremenitveni spekter, končna mešanica porazdelitev, doba trajanja

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0182
• Name: Razvojna vrednotenja