A log-normal format for failure probability under LCF: Concept, validation and definition of design curve

Beretta, S.; Foletti, S.; Rusconi, E.; Riva, Andrea; Socie, D. F.

doi:10.1016/j.ijfatigue.2015.08.027

Cited by 33 publications

(34 citation statements)

References 14 publications

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“…Variations of the stress amplitudes with cyclic response and fatigue life fraction for 950X steel under uniaxial fatigue in our previous work [38] are shown in Fig. 1.…”

Section: Materials Variability In Uniaxial Lcfmentioning

confidence: 88%

“…In order to quantify LCF life variability, most of available researches [5], [17], [37], [38], [48]- [50] focused primarily on obtaining the lifetime distribution from variation under given loading conditions as well as, the variation in the crack formation and crack growth rates.…”

Section: Introductionmentioning

confidence: 99%

“…Pessard et al [51] developed a probabilistic multiaxial modelling framework to describe the Kitagawa-Takahashi diagram by combining two fatigue damage mechanisms, which is based on the weakest link hypothesis. Recent research in [38] demonstrated that current safe-life design methods [12]- [14], [52], [53] introduced a series of partial safety factors to empirically or semi-empirically consider the variability in applied stress and material behavior. Sandberg et al [22] pointed out that the fatigue failure probability should be used in design by modeling all uncertainties that influence the problem, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…They introduced a probability-based Ramberg-Osgood form to model the random response of the nuclear material [55]. Different from the analytic approximation approach based on Neuber rule and Ramberg-Osgood equation applied in [38], this paper follows the combination of FE analysis and experiments dealing with stochastic nature of material response numerically by using Latin hypercube sampling technique.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Probabilistic framework for multiaxial LCF assessment under material variability

Zhu

Foletti

Beretta

2017

International Journal of Fatigue

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149

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Abstract:The influence of material variability upon the multiaxial LCF assessment of engineering components is missing for a comprehensive description. In this paper, a probabilistic framework is established for multiaxial LCF assessment of notched components by using the Chaboche plasticity model and Fatemi-Socie criterion. Simulations from experimental results of two steels reveal that the scatter in fatigue lives can be well described by quantifying the variability of four material parameters . A procedure for choosing the safety factor for fatigue design has been derived by using first order approximation.

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“…Variations of the stress amplitudes with cyclic response and fatigue life fraction for 950X steel under uniaxial fatigue in our previous work [38] are shown in Fig. 1.…”

Section: Materials Variability In Uniaxial Lcfmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Probabilistic framework for multiaxial LCF assessment under material variability

Zhu

Foletti

Beretta

2017

International Journal of Fatigue

Self Cite

149

View full text Add to dashboard Cite

show abstract

“…Designers are then forced to consider the presence of propagating cracks in regions where the low cycle fatigue (LCF) design is considered. The overall reliability of the component is evaluated by introducing a series of safety factors, calculated following semiprobabilistic approaches, which are employed to consider the natural scatter of the external applied loads [5]. In such conditions, fatigue properties can be conservatively predicted, assuming the presence of small shallow cracks, with a depth corresponding to the detection limit of non-destructive techniques (NDT) [6].…”

Section: Introductionmentioning

confidence: 99%

LCF and crack growth: recent results obtained by DIC

2018

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Abstract. Nowadays, several components for aerospace and energy applications (i.e., turbine disks, offshore pipelines, and combustor chambers) are designed following a safe-life approach in the low cycle fatigue (LCF) regime. As also in the LCF regime it is worth adopting a damage tolerance design, fatigue life is assessed considering a crack propagating from the first load cycle, starting from an initial defect present in the component's most-stressed region or from a microstructural feature. In this frame, fatigue crack growth is described considering LCF conditions, where the driving force at the crack tip can be described with the ΔJ eff parameter. The paper aims to give an overview of the potential applications and perspectives for the adoption of digital image correlation (DIC) measurements to study LCF nucleation and propagation. A visual technique based on the DIC displacement fields was developed to measure crack opening and closing levels in the presence of large strains. The technique is applied to different materials (steels, AlSi10Mg, nickel-based super-alloys). In addition, further applications of the DIC strain measurements are revised for the study of the nucleation stage and the crack tip process zone.

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A general framework for fatigue reliability analysis of a high temperature component

Luo

Wang

et al. 2018

Quality & Reliability Eng

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Fatigue reliability analysis for a high temperature component is a complex task due to the difficulties of doing experiments and uncertainties occurring in practical engineering. Researchers usually focus on the fatigue life scatter of standard specimens since the life data are easily available from fatigue tests. An alternative method is proposed in this paper which can replace the real tests of high temperature components with finite element (FE) simulation. A constitutive model coupled damage rule is utilized in this work to describe the cyclic stress‐strain response. Then, the FE simulations is incorporated into the general framework for reliability assessment. An adaptive least squares support vector machines with Latin hypercube sampling and learning function is employed to construct limit state function. To verify the accuracy and robustness of proposed method, a numerical example is utilized. In the end of this paper, a three‐layer structure extrusion container is applied for whole flowchart of fatigue reliability analysis.

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A log-normal format for failure probability under LCF: Concept, validation and definition of design curve

Cited by 33 publications

References 14 publications

Probabilistic framework for multiaxial LCF assessment under material variability

Probabilistic framework for multiaxial LCF assessment under material variability

LCF and crack growth: recent results obtained by DIC

A general framework for fatigue reliability analysis of a high temperature component

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