Prediction of the S–N curves of high-strength steels in the very high cycle fatigue regime

Liu, Y.B.; Li, Y.D.; Li, S.X.; Yang, Zhi; Chen, S.M.; Wang, Hui; Weng, Yuqing

doi:10.1016/j.ijfatigue.2010.02.006

Cited by 95 publications

(73 citation statements)

References 41 publications

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“…Equations (1) and (2) are based on Murakami's research [6], [9], conducted in the high cycle regime at 10 7 cycles [1], [10]. Therefore, replacing σ a with σ w at 10 7 cycles in (2) should give a value for area that causes the fatigue failure at 10 7 cycles.…”

Section: Proposed Substitute For Inclusion Sizementioning

confidence: 99%

“…In (4), σ w is in MPa, Hv is in kgf/mm 2 , and area is in μm. The main limitation of this model is that it is valid only for the high cycle regime for 10 7 cycles [10]. The main difficulty of using this model is that it requires a prior prediction of the location of the inclusion or defect that causes the damage in the future.…”

Section: Existing Fatigue Strength Prediction Models and Their Lmentioning

confidence: 99%

“…10 7 cycles [1]. Structural parts such as connecting rods, crank shafts and helical springs experience more than 10 10 cycles in their service lives [2].…”

Section: Introductionmentioning

confidence: 99%

“…Railway and offshore structures generally exceed 10 8 cycles [3]. Most of the fatigue design codes [4] too provide stress life S-N curves up to 10 9 cycles for designing elements in steel structures such as bridges. However, in designs, a fictive fatigue limit is often assumed at the end of the high cycle regime [2], [4].…”

Section: Introductionmentioning

confidence: 99%

“…The main parameters of these models are the size of defect or inclusion ( area ) and Vickers hardness (Hv) [6], [9]. Liu et al [1], [10], Wang et al [4], Mayor et al [8], [11] and Chapetti et al [12] have all proposed modifications to Murakami's model in order to widen its applicability in the gigacycle regime.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fatigue Strength Prediction Formulae for Steels and Alloys in the Gigacycle Regime

Bandara¹,

Siriwardane²,

Dissanayake³

et al. 2013

IJMMM

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Abstract-Most existing fatigue strength prediction models contain parameters related to the critical size of non metallic inclusions or defects. Finding the critical size of the inclusion or defect which causes the fatigue failure is not easy. Further, obtaining experimental stress life curves for gigacycles is expensive and time consuming. Therefore it is important to discover simple but reliable fatigue strength prediction formulae that use easily obtainable material parameters while being independent from the size of inclusions or defects. This paper proposes a new formula for predicting fatigue strengths of steels in the gigacycle regime using the ultimate tensile strength and Vickers hardness as material parameters while introducing a reliable substitute to the critical inclusion size. The formula is verified using published experimental results for forty five steels. Another formula for predicting fatigue strengths of steels and alloys is proposed using more than hundred experimental fatigue strength values at various numbers of failure cycles in the gigacycle regime.Index Terms-Fatigue strength, gigacycles, inclusion and defect, stress life curve, tensile strength.

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Section: Proposed Substitute For Inclusion Sizementioning

confidence: 99%

Section: Existing Fatigue Strength Prediction Models and Their Lmentioning

confidence: 99%

“…10 7 cycles [1]. Structural parts such as connecting rods, crank shafts and helical springs experience more than 10 10 cycles in their service lives [2].…”

Section: Introductionmentioning

confidence: 99%