A new nonlinear fatigue damage model based only on S-N curve parameters

Aeran, Ashish; Siriwardane, Sudath C.; Mikkelsen, Ove; Langen, Ivar

doi:10.1016/j.ijfatigue.2017.06.017

Cited by 97 publications

(63 citation statements)

References 31 publications

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“…The residual life of the K417 alloy under LH loading path was estimated using the proposed and existing models . It should be pointed out that the physical materials of K417 at 750 and 850°C were introduced into the physics based model (Equation ) due to the lack of experimental data.…”

Section: Resultsmentioning

confidence: 99%

“…The predicted lives using the existing and proposed models [Colour figure can be viewed at wileyonlinelibrary.com]…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, the residual life of NiTi alloy under LH block loading was predicted using the proposed and existing models, as listed in Table . The proposed model gave the better residual life predictions when the residual fatigue property was significantly improved by the previous loading.…”

Section: Resultsmentioning

confidence: 99%

“…Since the linear damage accumulation rule was found inaccurate in the case of block loading, numerous nonlinear damage accumulation models were developed to account for the effect of loading history …”

Section: Nonlinear Damage Accumulation Modelsmentioning

confidence: 99%

“…The application of S‐N curve‐related models required either the determination of material parameters or modifications to the S‐N curve of the material. On the basis of the commonly available S‐N curve parameter, Aeran et al proposed a nonlinear fatigue damage model to assess the fatigue damage under the loading level “ i ,” expressed as

D_{i} = 1 ‐ {(1 ‐ \frac{n_{i}}{N_{fi}})}^{‐ \frac{1.25}{\ln ((), N_{italicfi})}} .

…”

Section: Nonlinear Damage Accumulation Modelsmentioning

confidence: 99%

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Residual fatigue life prediction based on a novel damage accumulation model considering loading history

Shi

et al. 2020

Fatigue Fract Eng Mat Struct

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The influence of prior low‐cycle fatigue (LCF) on the residual fatigue life was investigated experimentally. A Ni‐based alloy was cyclically loaded under stress‐controlled low‐high (LH) block loading. In the first loading step, low‐amplitude loading was performed with the stress amplitude of 283.5MPa at 710°C. Different cycles of preloading were performed, varying from 100 to 10 000. Subsequently, high‐amplitude fatigue loading was carried out with the stress amplitude of 315MPa at 800°C. Experimental results show that the previous loading was beneficial to the residual fatigue life when the consumed life fraction is below 0.2 and detrimental when the consumed life fraction is larger than 0.2. A novel nonlinear fatigue damage accumulation model was proposed to estimate the residual LCF life under LH loading path considering the effects of load sequence and preloading cycles. The proposed model provided a better life prediction than some existing models, such as Kwofie‐Rahbar model, Miner' rule, Peng model, and Ye‐Wang model. Lastly, this model was further validated using various materials under LH and high‐low block loadings.

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Section: Resultsmentioning

confidence: 99%

“…The predicted lives using the existing and proposed models [Colour figure can be viewed at wileyonlinelibrary.com]…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Nonlinear Damage Accumulation Modelsmentioning

confidence: 99%

D_{i} = 1 ‐ {(1 ‐ \frac{n_{i}}{N_{fi}})}^{‐ \frac{1.25}{\ln ((), N_{italicfi})}} .

…”

Section: Nonlinear Damage Accumulation Modelsmentioning

confidence: 99%

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Residual fatigue life prediction based on a novel damage accumulation model considering loading history

Shi

et al. 2020

Fatigue Fract Eng Mat Struct

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Interior micro‐defect induced cracking mechanism and life prediction of carburized Cr−Ni steel based on double nonlinear damage under variable amplitude loading

Deng

Kang

Guo

et al. 2023

Materialwissenschaft Werkst

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The constant/variable amplitude loading fatigue test with interior inclusionfine granular area-fisheye induced failure under R = 0 were carried out on carburized CrÀ Ni steel. The results showed that the fatigue life under variable amplitude loading is longer than that under constant amplitude loading in very-high-cycle fatigue regime under same maximum stress level, and the surface morphology of fine granular area under variable amplitude loading is coarser than that under constant amplitude loading under same order of magnitude of fatigue life. Simultaneously, it can be determined that the formation micro-mechanism of fine granular area is caused by the continuous deboning due to stress concentration around interior micro-defects. Furthermore, the life prediction model based on double nonlinear fatigue damage, which considers the coupling effect of local equivalent stress (surface residual stress and local stress concentration effect), loading sequence, failure mechanism and nonlinear characteristics of fatigue damage under constant/variable amplitude loading is established, and predicted life has good accuracy within the factor-of-three lines.

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Probabilistic modeling of double linear damage accumulation and its application in fatigue reliability analysis

Peng,

Shi,

et al. 2024

Quality & Reliability Eng

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In this paper, a probabilistic double linear damage accumulation model is proposed to characterize the uncertainty of damage accumulation using the statistics of material fatigue life. The probabilistic modeling framework is performed under normal distribution assumption of fatigue life. By applying a one‐to‐one probability density function transformation method, the probability distribution of critical damage and cumulative damage can be extracted and derived. The proposed probabilistic damage accumulation model is then used for fatigue reliability analysis by building the reliability formulas with respect to the cumulative damage and the critical damage under both constant and variable amplitude loadings. It treats the mean and variance of cumulative damage as time‐dependent values that dynamically vary with increase in usage life. The reliability can be easily calculated by limited data necessary from fatigue life samples. The applicability of the proposed method is demonstrated using the experimental data of two metallic materials under constant amplitude and two‐block loadings. The results show that the model predictions are in good agreement with the experimental observations under constant amplitude loading and L‐H loading sequence. In addition, the proposed method provides better predictive ability than the Miner rule under constant amplitude loading and H‐L loading sequence. Moreover, the predicted reliability plots can typically present a two‐stage fatigue characteristic during crack initiation and crack propagation periods.

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A new nonlinear fatigue damage model based only on S-N curve parameters

Cited by 97 publications

References 31 publications

Residual fatigue life prediction based on a novel damage accumulation model considering loading history

Residual fatigue life prediction based on a novel damage accumulation model considering loading history

Interior micro‐defect induced cracking mechanism and life prediction of carburized Cr−Ni steel based on double nonlinear damage under variable amplitude loading

Probabilistic modeling of double linear damage accumulation and its application in fatigue reliability analysis

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