Open Access
Issue
MATEC Web Conf.
Volume 165, 2018
12th International Fatigue Congress (FATIGUE 2018)
Article Number 10007
Number of page(s) 8
Section Fatigue of Structures / Vibrations / in Service Fatigue Failures
DOI https://doi.org/10.1051/matecconf/201816510007
Published online 25 May 2018
  1. A.B.M Abdullah, Development of a closed-loop resonant fatigue testing methodology and experimental life test of aluminum alloy, University of Akron (2010) [Google Scholar]
  2. A. Angeli, B. Cornelis, M. Troncossi, Synthesis of Sine-on-Random vibration profiles for accelerated life tests based on fatigue damage spectrum equivalence, Mechanical Systems and Signal Processing 103, 340-351 (2018) [Google Scholar]
  3. J. Ge, Y. Sun, S. Zhou, L. Zhang, Y. Zhang, Q. Zhang, A hybrid frequency-time domain method for predicting multiaxial fatigue life of 7075-T6 aluminium alloy under random loading, Fatigue Fract. Eng. Mater. Struct. 38, 247-256 (2015) [CrossRef] [Google Scholar]
  4. S. Zhou, Y. Sun, L. Guo, Random fatigue life prediction of carbon fiber-reinforced composite laminate based on hybrid time-frequency domain method, Random Advanced Composite Materials (2016) [Google Scholar]
  5. B. Van Hooreweder, D. Moens, R. Boonen, P. Sas, Fatigue strength analysis of notched aluminium specimens using the highly stressed volume method, Fatigue Fract. Eng. Mater. Struct. 35, 154-159 (2011) [CrossRef] [Google Scholar]
  6. T. J. George, J. Seidt, M.-H. Herman Shen, T. Nicholas, C. J. Cross, Development of a novel vibration-based fatigue testing methodology, International Journal of Fatigue 26, 477-486 (2004) [CrossRef] [Google Scholar]
  7. E. Habtour, D. P. Cole, J. C. Riddick, V. Weiss, M. Robeson, R. Sridharan, A. Dasgupta, Detection of fatigue damage precursor using a nonlinear vibration approach, Struct. Control Health Monit. 23, 1442-1463 (2016) [CrossRef] [Google Scholar]
  8. M. Hammami, A. El Mahi, C. Karra, M. Haddar, Vibration non linéaire des composites stratifiés sains et endommagés par délaminage, CFA 2016 / VISHNO, 2435-2440 (2016) [Google Scholar]
  9. M. Paulus, A. Dasgupta, E. Habtour, Life estimation model of a cantilevered beam subjected to complex random vibration, Fatigue Fract. Eng. Mater. Struct. 35, 1058-1070 (2012) [CrossRef] [Google Scholar]
  10. Y. Li, B. Sun, J. Fang, X.-F. Liu, T. Liang, G.-B. Cai, Fatigue Fract. Eng. Mater. Struct., 1-8 (2017) [Google Scholar]
  11. B. Ellyson, M. Brochu, M. Brochu, Characterization of bending vibration fatigue of SLM fabricated Ti-6Al-4V, International Journal of Fatigue 99, 25-34 (2017). [Google Scholar]
  12. H. Rognon, Comportement en fatigue sous environnement vibratoire : Prise en compte de la plasticité au sein des méthodes spectrales, Ecole Centrale Paris (2013) [Google Scholar]
  13. D. Zanellati, D. Benasciutti, R. Tovo, Vibration fatigue tests by tri-axis shaker: design of an innovative system for uncoupled bending/torsion loading, Procedia Structural Integrity 8, 92-101 (2018) [Google Scholar]
  14. H. Sohn, C. R. Farrar, F. M. Hemez, D. D. Shunk, D. W. Stinemates, B. R. Nadler, J. J. Czarnecki, A Review of Structural Health Monitoring Literature: 1996-2001 (2004) [Google Scholar]
  15. O. S. Salawu, Detection of structural damage through changes in frequency: a review, Engineering Structures, Vol. 19, No. 9, 718-723 (1997) [Google Scholar]
  16. A. C. Altunisik, F. Y. Okur, V. Kahya, Modal parameter identification and vibration based damage detection of a multiple cracked cantilever beam, Engineering Failure Analysis 79, 154-170 (2017) [Google Scholar]
  17. J.-S. Dupuy, Identification des propriétés mécaniques de matériaux composites par analyse vibratoire, Université Montpellier II - Sciences et Techniques du Languedoc (2008) [Google Scholar]
  18. T. Straub, Experimental Investigation of Crack Initiation (2016) [Google Scholar]
  19. L. Khalij, C. Gautrelet, A. Guillet, Fatigue curves of a low carbon steel obtained from vibration experiments with an electrodynamic shaker, Materials and Design 86, 640-648 (2015) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.