Faculty of Mechanical Engineering, Department of Mechanics and Machine Design, Opole University of Technology, ul. Mikołajczyka 5, 45-271 Opole, Poland
2
Department of Engineering, University of Perugia, via G. Duranti, 93, Perugia, 06125 Italy
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.
REFERENCES(22)
1.
Banvillet A., Łagoda T., Macha E., Niesłony A., Palin-Luc T., Vittori J.-F. (2004), Fatigue life under non-Gaussian random loading from various Models, International Journal of Fatigue, 26, 349–363.
Benasciutti D., Cristofori A., Tovo R. (2013) Analogies between spectral methods and multiaxial criteria in fatigue damage evaluation, Probabilistic Engineering Mechanics, 31, 39–45.
Benasciutti D., Tovo R. (2005), Spectral methods for lifetime prediction under wide-band stationary random processes, International Journal of Fatigue, 27 867–877.
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.
Benasciutti D., Tovo R. (2010) On fatigue cycle distribution in non-stationary switching loadings with Markov chain structure, Probabilistic Engineering Mechanics, 25(4), 406-418.
Bendat J.S. (1964)., M.A. Corporation, U.S.N.A. and S. Administration, Probability functions for random responses: prediction for peaks, fatigue damage, and catastrophic failures, National Aeronautics and Space Administration.
Braccesi C., Cianetti F., Lori G., Pioli D. (2009), The frequency domain approach in virtual fatigue estimation of non-linear systems: The problem of non-Gaussian states of stress, International Journal of Fatigue, 31(4), 766–775.
Łagoda T., Macha E., Pawliczek R. (2001), The influence of the mean stress on fatigue life of 10HNAP steel under random loading, International Journal of Fatigue, 23, 283–291.
Niesłony A., Böhm M. (2015), Mean Stress Effect Correction in Frequency-domain Methods for Fatigue Life Assessment, Procedia Engineering,12(101), 347-354.
Pawliczek R., Kluger K. (2013) Influence of the irregularity coefficient of loading on calculated fatigue life, Journal of Theoretical and Applied Mechanics, 51(4), 791-798.
Tunna J.M. (1986), Fatigue Life Prediction for Gaussian Random Loads at the Design Stage, Fatigue & Fracture of Engineering Materials & Structures, 9, 169–184.
Wolfsteiner P., Breuer W. (2013) Fatigue assessment of vibrating rail vehicle bogie components under non-Gaussian random excitations using power spectral densities, Journal of Sound snd Vibration, 332(22), 5867-5882.
Wolfsteiner P., Sedlmair S. (2015), Deriving Gaussian Fatigue Test Spectra from Measured non Gaussian Service Spectra, Procedia Engineering, 101, 543 – 551.
Zhao W., Baker M. (1992), On the probability density function of rainflow stress range for stationary Gaussian processes, International Journal of Fatigue, 14 (2), 121–135.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.