An approach to correlate fatigue crack growth rate with S-N curve for an aluminum alloy LY12CZ

Hou, Shanqin; Xu, Jin-Quan

doi:10.1016/j.tafmec.2018.02.016

Cited by 10 publications

(5 citation statements)

References 37 publications

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“…In addition, the DSF curve with respect to the standard deviation of e 1 are plotted in Figure 12. From Figure 12, it can be learnt that two peaks appear in the whole (30) operation duration, which indicates that there exist two most sensitive moments to the dependence of the belts. In the vicinity of these two moments, particular attention should be paid to the influence of failure dependence on system reliability.…”

Section: Figurementioning

confidence: 98%

“…The remaining strength of the jth belt is expressed by [27] d j is the damage of the ith belt given by where σ iq is the stress in the ith time interval that is larger than a specified stress level σ lim . L iq is the lifetime under σ iq in the S-N fatigue curve, which is expressed as follows [28][29][30][31]:…”

Section: Figurementioning

confidence: 99%

“…32: 30 and system availability is proposed in this paper and considered in the proposed system availability models. The results show that the effects of time scale inconsistency on system availability are time-dependent and remarkable.…”

mentioning

confidence: 99%

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Reliability and Availability Models of Belt Drive Systems Considering Failure Dependence

Gao¹,

Xie²,

Pan³

2019

Chin. J. Mech. Eng.

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Conventional reliability models of belt drive systems in the failure mode of fatigue are mainly based on the static stress strength interference model and its extended models, which cannot consider dynamic factors in the operational duration and be used for further availability analysis. In this paper, time-dependent reliability models, failure rate models and availability models of belt drive systems are developed based on the system dynamic equations with the dynamic stress and the material property degradation taken into account. In the proposed models, dynamic failure dependence and imperfect maintenance are taken into consideration. Furthermore, the issue of time scale inconsistency between system failure rate and system availability is proposed and addressed in the proposed system availability models. Besides, Monte Carlo simulations are carried out to validate the established models. The results from the proposed models and those from the Monte Carlo simulations show a consistency. Furthermore, the case studies show that the failure dependence, imperfect maintenance and the time scale inconsistency have significant influences on system availability. The independence assumption about the belt drive systems results in underestimations of both reliability and availability. Moreover, the neglect of the time scale inconsistency causes the underestimate of the system availability. Meanwhile, these influences show obvious time-dependent characteristics.

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Section: Figurementioning

confidence: 98%

Section: Figurementioning

confidence: 99%

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Reliability and Availability Models of Belt Drive Systems Considering Failure Dependence

Gao¹,

Xie²,

Pan³

2019

Chin. J. Mech. Eng.

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“…This fatigue life estimation is based on predominantly two concepts namely, cumulative fatigue damage (CFD), based on the stress-life approach i.e. S−N curves, and the fatigue crack growth (FCG) based on the advancement of fatigue crack with respect to the number of cycles, often referred to as a-N or Paris curves [1][2][3].…”

Section:  Introductionmentioning

confidence: 99%

“…Paris and Erdogan pioneered a technique to compare Irwin's stress intensity factor range with the rate of growth of crack per cycle [7] with the development of mathematical relations between the growth rate of cracks per cycle ( / da dN ) and the relative strain energy release rate (SERR), known as the Paris law as presented in the equation (1).…”

Section:  Introductionmentioning

confidence: 99%

Determination of Paris parameters from S−N curve in the simulation of fatigue in Nomex honeycomb sandwich structures

Tripurari

Jamil

2022

Mater. Res. Express

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Determination of S-N and Paris parameters form the two primary approaches as far as fatigue testing is concerned. With many economic factors and complexities involved in experimentation, these approaches are not related to each other and require implementation of separate test standards for both of them. In this work, an attempt is made on the interconvertibility of these experimental parameters and a numerical technique based on virtual crack closure technique (VCCT) is proposed for the evaluation of Paris parameters from S-N curve, corresponding to four-point bending end notched flexural (4ENF) sandwich specimen made up of Nomex® aramid honeycomb core with glass fibre reinforced composite (GFRP) facesheets. VCCT was effectively utilised for the estimation of strain energy release rates (SERR), in both 2D plane stress/strain and 3D conditions, which were compared with each other, and the resultant was incorporated with the S-N data for the determination of parameters of the Paris curve. These determined parameters were employed for the simulation of fatigue delamination growth by using “Direct Cyclic” step and compared with the results obtained from literature. The comparison revealed a good agreement between the two, thereby validating the proposed technique.

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A Transition Size of Dividing Crack Initiation and Propagation Phases and the Fatigue Total Life Prediction Approach

Xie

Zhao

et al. 2019

J Fail. Anal. and Preven.

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An approach to correlate fatigue crack growth rate with S-N curve for an aluminum alloy LY12CZ

Cited by 10 publications

References 37 publications

Reliability and Availability Models of Belt Drive Systems Considering Failure Dependence

Reliability and Availability Models of Belt Drive Systems Considering Failure Dependence

Determination of Paris parameters from S−N curve in the simulation of fatigue in Nomex honeycomb sandwich structures

A Transition Size of Dividing Crack Initiation and Propagation Phases and the Fatigue Total Life Prediction Approach

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