Issue 30

D.S. Paolino et alii, Frattura ed Integrità Strutturale, 30 (2014) 417-423; DOI: 10.3221/IGF-ESIS.30.50 423 A CKNOWLEDGEMENTS he authors gratefully acknowledge financial support from the Piedmont Region Industrial Research Project NGP - Bando Misura II.3. R EFERENCES [1] Bathias, C., Paris, P.C., Gigacycle fatigue in mechanical practice, CRC Dekker, New York, (2005). [2] Harlow, D.G., Statistical characterization of bimodal behavior, Acta Mater., 59 (2011) 5048–5053. [3] Bathias, C., There is no infinite fatigue life in metallic materials, Fatigue Fract. Engng. Mater. Struct., 22 (1999) 559– 565. [4] Pyttel, B., Schwerdt, D., Berger, C., Very high cycle fatigue – Is there a fatigue limit?, Int. J. Fatigue, 33 (2011) 49–58. [5] Cashman, G.T., A statistical methodology for the preparation of a competing modes fatigue design curve. J. Engng. Mater. Technol., 129 (2007) 159–168. [6] Sakai, T., Lian, B., Takeda, M., Shiozawa, K., Oguma, N., Ochi, Y., Nakajima, M., Nakamura, T., Statistical duplex S- N characteristics of high carbon chromium bearing steel in rotating bending in very high cycle regime, Int. J. Fatigue, 32 (2010) 497–504. [7] Bomas, H., Burkart, K., Zoch, H.W., Evaluation of S-N curves with more than one failure mode, Int. J. Fatigue, 33 (2011) 19–22. [8] Paolino, D.S., Chiandussi, G., Rossetto, M., A unified statistical model for S-N fatigue curves: probabilistic definition, Fatigue Fract. Eng. Mater. Struct., 36 (2013) 187–201. [9] Nelson, W., Accelerated Testing: Statistical Models, Test Plans, and Data Analyses. John Wiley & Sons, New York, (1990). [10] Pascual, F.G., Meeker, W.Q., Estimating fatigue curves with the Random Fatigue-Limit Model, Technometrics, 41 (1999) 277–290. [11] Lorén, S., Fatigue limit estimated using finite lives. Fatigue Fract. Engng. Mater. Struct., 26 (2003) 757–766. [12] Hanaki, S., Yamashita, M., Uchida, H., Zako, M., On stochastic evaluation of S-N data based on fatigue strength distribution. Int. J. Fatigue, 32 (2010) 605–609. [13] NIMS Fatigue Data Sheet No. 98, Data sheet on giga-cycle fatigue properties of Ti-6Al-4V (1100 MPa class) titanium alloy, National Institute for Materials Science, Tokyo, (2005). T