Open Access
Issue
MATEC Web Conf.
Volume 165, 2018
12th International Fatigue Congress (FATIGUE 2018)
Article Number 10011
Number of page(s) 9
Section Fatigue of Structures / Vibrations / in Service Fatigue Failures
DOI https://doi.org/10.1051/matecconf/201816510011
Published online 25 May 2018
  1. United States Department of Defense, MIL-STD-810F, Department of defense test method standard for environmental engineering consideration and laboratory tests (2000) [Google Scholar]
  2. N. W. M. Bishop, The use of frequency domain parameters to predict structural fatigue, University of Warwick (1988) [Google Scholar]
  3. T. Dirlik, Application of computers in fatigue analysis, University of Warwick (1985) [Google Scholar]
  4. D. Benasciutti, R. Tovo, Spectral methods for lifetime prediction under wide-band stationary random process, Int. J. Fatigue, 27(8): pp. 867-877 (2005) [CrossRef] [Google Scholar]
  5. C. Braccesi, F. Cianetti, L. Tomassini, Fast evaluation of stress state spectral moments, Int. J. of Mech. Sci., 127: pp.4-9 (2017) [CrossRef] [Google Scholar]
  6. M. Mršnik, J. Slavič, M. Boltežar, Multiaxial vibration fatigue - a theoretical and experimental comparison, Mech. Sys. Signal Proc., 76-77: pp. 409-423 (2016) [Google Scholar]
  7. M. Mršnik, J. Slavič, M. Boltežar, Vibration fatigue using modal decomposition, Mech. Sys. Signal Proc., 98: pp. 548-556 (2018) [CrossRef] [Google Scholar]
  8. S. Bendat, G. Piersol, Random data: analysis and measurement procedures, 4th edition, Wiley&Sons (2010) [CrossRef] [Google Scholar]
  9. M. Mršnik, J. Slavič, M. Boltežar, Frequencydomain methods for a vibration-fatigue-life estimation - application to real data, Int. J. Fatigue, 47: pp. 8-17 (2013) [CrossRef] [Google Scholar]
  10. D. Benasciutti, Fatigue analysis of random loadings, University of Ferrara (2004) [Google Scholar]
  11. A. Niesłony, M. Bohm, T. Łagoda, F. Cianetti, The use of spectral method for fatigue life assessment for non-Gaussian random loads, Acta Mech. Automat., 10(2): pp. 100-103 (2016) [CrossRef] [Google Scholar]
  12. C. Bracessi, F. Cianetti, G. Lori, D. Pioli, The frequency domain approach in virtual fatigue estimation of non-linear system: the problem of non-Gaussianity state of stress, Int. J. Fatigue, 31(4): pp. 766-775 (2009) [CrossRef] [Google Scholar]
  13. S. A. Rizzi, A. Prezekop, T. Turner, On the response of a non-linear structure to high-kurtosis non-Gaussian random loadings, in: 8th Eurodyn, Leuven (2011) [Google Scholar]
  14. F. Kihm, S. A. Rizzi, N. S. Fergusson, A. Halfpenny, Understanding how kurtosis is transferred from input acceleration to stress response and its influence on fatigue life, in: 11th RASD, Pisa (2013) [Google Scholar]
  15. Z. Fan, Y. Jiang, S. Zhang, J. Tao, X. Chen, Research on vibration fatigue of carbon fibrereinforced composites under non-Gaussian random load, In: PHM-2017, Harbin (2017) [Google Scholar]
  16. R. Zheng, H. Chen, X. He, W. Zheng, Probability distributions control for multi-input multi-output stationary non-Gaussian random vibration test, J. Vib. Control, DOI: 10.1177/1077546317747503 (2017) [Google Scholar]
  17. M. Česnik, J. Slavič, M. Boltežar, Uninterrupted and accelerated vibrational fatigue testing with simultaneous monitoring of the natural frequency and damping, 331(24): pp. 5370-5382 (2012) [Google Scholar]
  18. M. Palmieri, M. Česnik, J. Slavič, F. Cianetti, M. Boltežar, Non-Gaussianity and non-stationarity in vibration fatigue, Int. J. Fatigue, 97: pp. 9-19 (2017) [CrossRef] [Google Scholar]
  19. V. Rouillard, Quantifying the non-stationarity of vehicle vibrations with the run test, Packag. Technol. Sci., 27(3): pp. 203-219 (2014) [CrossRef] [Google Scholar]
  20. L. Capponi, M. Česnik, J. Slavič, F. Cianetti, M. Boltežar, Non-stationarity index in vibration fatigue: Theoretical and experimental research, Int. J. Fatigue, 104: pp. 221-230 (2017) [CrossRef] [Google Scholar]
  21. N. M. M. Maia, J. M. M. Silva, Theoretical and experimental modal analysis, 1st edition, Research Studies Press (1997) [Google Scholar]
  22. X. Pitoiset, A. Preumont, Spectral methods for multi-axial random fatigue analysis of metallic structure, Int. J. Fatigue, 22(7): pp. 541-550 (2000) [CrossRef] [Google Scholar]
  23. Y.-L. Lee, J. Pan, R. Hathaway, M. Barkey, Fatigue testing and analysis: Theory and practice, 1st edition, Elsevier (2004) [Google Scholar]

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