Investigations into the cumulative fatigue life of an AISI 304L austenitic stainless steel used for pressure water reactors: Application of a double linear damage rule

Fissolo, A.; Gourdin, C.; Chen, Yinqiang; Pérez, G; Stelmaszyk, Jean Marc

doi:10.1016/j.ijfatigue.2015.02.010

Cited by 20 publications

(8 citation statements)

References 23 publications

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“…We can study and analyse the fatigue failure process through fatigue tests with cumulative damage theory and reveal the cumulative damage law. 25 There are many theories and methods to calculate the fatigue life of components under random loads, such as linear fatigue accumulation theory, bilinear fatigue accumulation theory and nonlinear fatigue accumulation theory. 26 Currently, the most commonly used is the linear cumulative damage criterion [Palmgren-Miner rule (PMR)] to calculate the degradation fatigue life of components.…”

Section: Statement Of Problemsmentioning

confidence: 99%

“…At present, domestic and foreign researchers have proposed a variety of methods and models for fatigue life prediction based on fatigue damage theory. We can study and analyse the fatigue failure process through fatigue tests with cumulative damage theory and reveal the cumulative damage law 25 . There are many theories and methods to calculate the fatigue life of components under random loads, such as linear fatigue accumulation theory, bilinear fatigue accumulation theory and nonlinear fatigue accumulation theory 26 .…”

Section: Statement Of Problemsmentioning

confidence: 99%

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Prediction and evaluation of fatigue life for mechanical components considering anelasticity‐based load spectrum

Wang

Liu

Jiang

et al. 2020

Fatigue Fract Eng Mat Struct

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To accurately predict the degraded fatigue life of components under random loads, anelasticity effect of metal on life estimation needs to be explored. Weighting coefficient and dynamic elastic modulus are introduced to modify the calculation process of the model. By establishing an equal-amplitude fatigue median surface and applying Miner linear fatigue cumulative damage theory, a fatigue life prediction model of the component under random loads is proposed. The model can be used to calculate the degraded fatigue life of components, which provides a theoretical basis for life estimation under random load spectrum. The two-dimensional load spectrum is compared with the unprocessed two-dimensional load spectrum and the one-dimensional program spectrum in life prediction results. With the comparison of the target life and simulation life and the data calculated by the model of the automobile front stabilizer bar, it is concluded that the data obtained by the modified model are more reasonable and accurate.

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Section: Statement Of Problemsmentioning

confidence: 99%

Section: Statement Of Problemsmentioning

confidence: 99%

Prediction and evaluation of fatigue life for mechanical components considering anelasticity‐based load spectrum

Wang

Liu

Jiang

et al. 2020

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

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“…The cumulative damage of parts leads to fatigue failure. Cumulative damage theory studies fatigue failure process and reveals cumulative damage law through fatigue test (Fissolo et al , 2015; Huang et al , 2017; Benkabouche et al , 2015). Zhang et al (2018) proposed a novel damage model to take into account the loads below fatigue limit.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life prediction for automobile stabilizer bar

Liu

Wang

et al. 2019

IJSI

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Purpose During the running of automobile, the stabilizer bar is frequently subjected to the impact of complex random loads, which is prone to fatigue failure and accident. In regard to this, the purpose of this paper is to study and discuss fatigue life of automobile stabilizer bar. Design/methodology/approach Durability bench test shows that failure is located at the joint of sleeve and stabilizer bar body. Based on the collection and compilation of micro-strain load spectrum of the stabilizer bar, the strain-life model is studied considering the influence of average stress and maximum stress at failure area. Seven-grade strain-life curves of the stabilizer bar are established. According to the principle of linear damage accumulation, the relationship between fatigue life and damage is discussed, then the fatigue life of stabilizer bar is predicted. Fatigue life evaluation is carried out from three aspects: reliability analysis, static analysis and fatigue life simulation. Findings The results show that the reliability of the test sample is 99.9 percent when the confidence is 90 percent and the durability is 1,073 load spectrum cycles; the ratios of predicted and simulated life to design life are 2.77 and 2.30, respectively. Originality/value Based on the road load characteristics of automobile stabilizer bar, the method of fatigue life prediction and evaluation is discussed, which provides a basis for the design and development of automobile chassis components.

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“…However, this association was later abandoned by their own authors, referring to the straight lines simply as phase I and phase II [11]. Many authors [5,[12][13][14] have justified the application of DLDR to solve non-linear damage accumulation problems under multi-amplitude loading conditions based on the accurate predictions obtained with a relatively simple mathematical formulation since it requires the determination of only one knee-point. More sophisticated generalized non-linear CFD models have been proposed recently [15], which are computationally demanding and more difficult to be implemented in a probabilistic context.Although most of the above-mentioned CFD approaches are essentially deterministic models, experimental studies have been shown a considerable scattering of the fatigue life for a wide range of materials and loading conditions, revealing the stochastic nature of the cumulative fatigue damage [16].…”

Section: Introductionmentioning

confidence: 99%

Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data

Dias

Ekwaro-Osire

Cunha

et al. 2019

International Journal of Fatigue

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This work proposes a parametric probabilistic approach to model damage accumulation using the double linear damage rule (DLDR) considering the existence of limited experimental fatigue data. A probabilistic version of DLDR is developed in which the joint distribution of the knee-point coordinates is obtained as a function of the joint distribution of the DLDR model input parameters. Considering information extracted from experiments containing a limited number of data points, an uncertainty quantification framework based on the Maximum Entropy Principle and Monte Carlo simulations is proposed to determine the distribution of fatigue life. The proposed approach is validated using fatigue life experiments available in the literature.

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Investigations into the cumulative fatigue life of an AISI 304L austenitic stainless steel used for pressure water reactors: Application of a double linear damage rule

Cited by 20 publications

References 23 publications

Prediction and evaluation of fatigue life for mechanical components considering anelasticity‐based load spectrum

Prediction and evaluation of fatigue life for mechanical components considering anelasticity‐based load spectrum

Fatigue life prediction for automobile stabilizer bar

Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data

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