The use of spectral method for fatigue life assessment for non-gaussian random loads

• Autorzy: Niesłony A. , Böhm M. , Łagoda T. , Cianetti F.

Identyfikatory

DOI

10.1515/ama-2016-0016

• Języki publikacji: EN

Abstrakty

EN

The well-known problem with the fatigue lifetime assessment of non-Gaussian loading signals with the use of spectral method has been presented in the paper. A correction factors that transform the non-Gaussian signal into an equivalent Gaussian signal proposed by Bracessi et al. (2009) has been used for the purpose of lifetime calculations together with Palmgren-Miner Hypothesis. The calculations have been performed for the 10HNAP steel under random non-Gaussian load with four dominating frequencies. The signal has been generated on the test stand SHM250 for random tension-compression tests. The results with zero and non-zero mean stresses have been used to calculate the fatigue life with the frequency domain method based on Dirlik’s model and with a time domain method with the use of the rainflow cycle counting algorithm. The obtained calculation results have been compared with experimental results.

Słowa kluczowe

EN

spectral method; fatigue life; random loading; non-Gaussian

PL

trwałość zmęczeniowa; metoda widmowa; stal

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2016
• Tom: Vol. 10, no. 2
• Strony: 100--103
• Opis fizyczny: Bibliogr. 22 poz., rys., tab., wykr.

Twórcy

autor

Niesłony A.

• Faculty of Mechanical Engineering, Department of Mechanics and Machine Design, Opole University of Technology, ul. Mikołajczyka 5, 45-271 Opole, Poland

autor

Böhm M.

• Faculty of Mechanical Engineering, Department of Mechanics and Machine Design, Opole University of Technology, ul. Mikołajczyka 5, 45-271 Opole, Poland

autor

Łagoda T.

• Faculty of Mechanical Engineering, Department of Mechanics and Machine Design, Opole University of Technology, ul. Mikołajczyka 5, 45-271 Opole, Poland

autor

Cianetti F.

• Department of Engineering, University of Perugia, via G. Duranti, 93, Perugia, 06125 Italy

Bibliografia

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• 3. Benasciutti D., Tovo R. (2005), Spectral methods for lifetime prediction under wide-band stationary random processes, International Journal of Fatigue, 27 867–877.
• 4. Benasciutti D., Tovo R. (2006) Comparison of spectral methods for fatigue analysis of broad-band Gaussian random processes, Probabilistic Engineering Mechanics, 21(4), 287–299.
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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.