and Applied Mechanics
0, 0, pp. , Warsaw 0
Accuracy of determined S-N curve by selected models
References
ASTM E-739-91. 2006. Standard Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain-Life (ε-N) Fatigue Data.
Aviles, R., Albizuri, J., Rodriguez, A., Lopez De Lacalle, L. N. 2013. Influence of low-plasticity ball burnishing on the high-cycle fatigue strength of medium carbon AISI 1045 steel. International Journal of Fatigue, 55, pp. 230–244. http://doi.org/10.1016/j.ijfatigue.2013.06.024
Bochat, A., Wesolowski, L., Zastempowski, M. 2015. A Comparative Study of New and Traditional Designs of a Hammer Mill. Transactions of the ASABE, 58(3), pp. 585–596. http://doi.org/10.13031/trans.58.10691
Castillo, E., Canteli, A. F., Esslinger, V., Thurlimann, B. 1985. Statistical Model for Fatigue Analysis of Wires, Strands and Cables. In IABSE proceedings (pp. pp. 1–40).
Castillo, E., Fernández-Canteli, A. 2009. A Unified Statistical Methodology for Modeling Fatigue Damage. http://doi.org/10.1007/978-1-4020-9182-7
Fouchereau, R., Celeux, G., Pamphile, P. 2014. Probabilistic modeling of S-N curves. International Journal of Fatigue, 68, pp. 217–223. http://doi.org/10.1016/j.ijfatigue.2014.04.015
ISO-12107. 2012. Metallic materials - fatigue testing - statistical planning and analysis of data. Geneva.
Jing Ling, J. P. 1997. A Maximum Likelihood Method for Estimating Genome Leng.pdf, pp. 415–419.
Kohout, J., Vechet, S. 2001. A new function for fatigue curves characterization and its multiple merits. International Journal of Fatigue, 23(2), pp. 175–183. http://doi.org/10.1016/S0142-1123(00)00082-7
Kurek, M., Lagoda, T., Katzy, D. 2014. Comparison of Fatigue Characteristics of some Selected Materials. Materials Testing, 56(2), pp. 92–95. http://doi.org/10.3139/120.110529
Leonetti, D., Maljaars, J., Snijder, H. H. (Bert). 2017. Fitting fatigue test data with a novel S-N curve using frequentist and Bayesian inference. International Journal of Fatigue, 105, pp. 128–143. http://doi.org/10.1016/j.ijfatigue.2017.08.024
Pascual, F. G., Meeker, W. Q. 1999. Estimating Fatigue Curves with the Random Fatigue-Limit Model. Technometrics, 41(4), pp. 277–290. http://doi.org/10.2307/1271342
Pollak, R. D., Palazotto, A. N. 2009. A comparison of maximum likelihood models for fatigue strength characterization in materials exhibiting a fatigue limit. Probabilistic Engineering Mechanics, 24(2), pp. 236–241. http://doi.org/10.1016/j.probengmech.2008.06.006
Sarkani, S., Mazzuchi, T. a., Lewandowski, D., Kihl, D. P. 2007. Runout analysis in fatigue investigation. Engineering Fracture Mechanics, 74, pp. 2971–2980. http://doi.org/10.1016/j.engfracmech.2006.08.026
Schütz, W. 1996. A history of fatigue. Engineering Fracture Mechanics, 54(2), pp. 263–300. http://doi.org/10.1016/0013-7944(95)00178-6
Skibicki, D. 2007. Experimental verification of fatigue loading nonproportionality model. Journal Of Theoretical And Applied Mechanics, 45(2), pp. 337–348.
Strzelecki, P., Sempruch, J. 2012. Experimental Verification of the Analytical Method for Estimated S-N Curve in Limited Fatigue Life. Materials Science Forum, 726, pp. 11–16. http://doi.org/10.4028/www.scientific.net/MSF.726.11
Strzelecki, P., Sempruch, J. 2016. Verification of analytical models of the S-N curve within limited fatigue life. Journal of Theoretical and Applied Mechanics, 54(1), pp. 63. http://doi.org/10.15632/jtam-pl.54.1.63
Strzelecki, P., Tomaszewski, T. 2016. Application of Weibull distribution to describe S-N curve with using small number specimens. In AIP Conference Proceedings (Vol. 1780, p. pp. 20007). AIP Publishing. http://doi.org/10.1063/1.4965939
Strzelecki, P., Tomaszewski, T., Sempruch, J. 2016. A method for determining a complete S-N curve using maximum likelihood. In I. Zolotarev & V. Radolf (Eds.), 22nd International Conference on Engineering Mechanics (pp. pp. 530–533). Svratka, Czech Republic: ACAD SCI CZECH REPUBLIC, INST THERMOMECHANICS, DOLEJSKOVA 5, PRAGUE 8, 182 00, CZECH REPUBLIC.
Szala, G., Ligaj, B. 2011. Two-parameter fatigue characteristics of construction steels and their experimental verification (in Polisch). (J. Szala, Ed.). Bydgoszcz: Uniwersytet Technologiczno-Przyrodniczy im. J. J. Śniadeckich - Instytut Technologii Eksploatacji - PIB.
Szala, G., Ligaj, B. 2012. Description of Cyclic Properties of Steel in Variability Conditions of Mean Values and Amplitudes of Loading Cycles. Materials Science Forum, 726, pp. 69–76. http://doi.org/10.4028/www.scientific.net/MSF.726.69
Tomaszewski, T., Sempruch, J. 2017. Fatigue life prediction of aluminium profiles for mechanical engineering. Journal of Theoretical and Applied Mechanics, 55(2), pp. 497. http://doi.org/10.15632/jtam-pl.55.2.497
Weibull, W. 1961. Fatigue Testing and analysis of results. Oxford: Pergamon Press LTD.