Duplex S-N fatigue curves: statistical distribution of the transition fatigue life

Abstract

In recent years, very-high-cycle fatigue (VHCF) behavior of metallic materials has become a major point of interest for researchers and industries. The needs of specific industrial fields (aerospace, mechanical and energy industry) for structural components with increasingly large fatigue lives, up to 10 10 cycles (gigacycle fatigue), requested for a more detailed investigation on the experimental properties of materials in the VHCF regime. Gigacycle fatigue tests are commonly performed using resonance fatigue testing machines with a loading frequency of 20 kHz (ultrasonic tests). Experimental results showed that failure is due to cracks which nucleate at the specimen surface if the stress amplitude is above the conventional fatigue limit (surface nucleation) and that failure is generally due to cracks which nucleate from inclusions or internal defects (internal nucleation) when specimens are subjected to stress amplitudes below the conventional fatigue limit. Following the experimental evidence, the Authors recently proposed a new statistical model for the complete description of S-N curves both in the high-cycle-fatigue (HCF) and in the VHCF fatigue regions (Duplex S-N curves). The model differentiates between the two failure modes (surface and internal nucleation), according to the estimated distribution of the random transition stress (corresponding to the conventional fatigue limit). No assumption is made about the statistical distribution of the number of cycles at which the transition between surface and internal nucleation occurs (i.e., the transition fatigue life). In the present paper, the statistical distribution of the transition fatigue life is obtained, according to the statistical model proposed. The resulting distribution depends on the distance between the HCF and the VHCF regions and on the distribution of the random transition stress. The estimated distribution can be effectively used to predict, with a specified confidence level, the number of cycles for which an internal nucleation may probabilistically occur in a VHCF test and it is also informative for properly choosing the end of HCF tests in terms of number of cycles. A numerical example, based on experimental datasets taken from the literature, is provided.

VHCF Response of Two AISI H13 Steels: Effect of Manufacturing Process and Size-Effect

“…The aim of the experimental tests was to obtain a large number of failures in the range between 10 8 -10 10 cycles (i.e., below the conventional fatigue limit or the "transition fatigue strength" [26][27][28][29][30]), in order to properly estimate and compare the VHCF response of the two tested H13 steels and to investigate the size-effect. Sixty-nine specimens were experimentally tested: All experimental failures originated from internal defects.…”

Probabilistic assessment of VHCF data as pertaining to concurrent populations using a Weibull regression model

“…Combined p‐S‐N field obtained by the methodology presented in this paper for high cycle fatigue and very high cycle fatigue for Ti‐6Al‐4V titanium alloy and comparison with that proposed by Paolino et al…”

“…The experimental results extracted from NIMS and used could be seen in Figure and Table , which shows the number of cycles until failure, the stress amplitude and the failure type happened for each experimental results. The frequencies used during the experimental program are also shown in this table, although they can be neglected, since they not influence the final results …”

“…The Wöhler field can be consequently extended to include any other percentile curve as requested. Figure also includes a comparison of the p‐S‐N field obtained by this methodology and the p‐S‐N field derived using the approach proposed by Paolino et al…”

“…This new methodology is compared with that proposed by Paolino et al, which is one of the recent proposals to overcome the problem of internal and external failure on duplex S‐N fatigue curves.…”