A new method for obtaining P-S-N curves under the condition of small sample

Gao, Jianxiong; An, Zongwen; Liu, Bo

doi:10.1177/1748006x16686896

Cited by 18 publications

(19 citation statements)

References 20 publications

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“…The σ–N curve is a graph of the cyclic stress σ ( σ a or σ max ) against the cycles to failure (fatigue life) N , which provides the basic data for fatigue life prediction of materials. The σ–N curve is usually expressed by the power law formula, 16,17 as shown in equation (1)…”

Section: Mean Stress and Constant Life Diagrammentioning

confidence: 99%

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

Gao

Kou

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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To predict fatigue life of wind turbine rotor blade composites under random loads, the combined effects of stress amplitude and mean stress are considered. First, the generalized s-N curved surface is introduced to characterize the fatigue properties of composites under constant amplitude cyclic load. Then, a modified Miner's rule is developed to reveal the evolution process of fatigue damage under variable amplitude cyclic loads. Finally, a fatigue life prediction model is presented based on the total probability formula and the modified Miner's rule, which can reflect the combined effects of stress amplitude and mean stress on fatigue life. The experimental data of wind turbine rotor blade composites are used to illustrate the specific process of the proposed method; the results indicate that the prediction values of the developed method are reasonable and effective.

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Section: Mean Stress and Constant Life Diagrammentioning

confidence: 99%

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

Gao

Kou

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…The fatigue life prediction of traditional metal materials includes strength degradation model, damage accumulation model, energy method, S-N curve and other methods [6][7][8]. The fatigue life of materials is affected by loading strength, load-stress ratio, and different load loading sequences [9][10][11][12][13]. In addition, the surface roughness and operating temperature of materials will affect the fatigue life of component [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Path Planning Algorithm for Fatigue Life Prediction of SiC/AL MMCs Considering Residual Stress

Shang¹,

Liu²,

Wang³

et al. 2021

Preprint

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To explore the influence of path deflection on crack propagation, a path planning algorithm is presented to calculate the crack growth length. The fatigue crack growth life of metal matrix composites (MMCs) is estimated based on an improved Paris formula. Considering the different expansion coefficient of different materials, the unequal shrinkage will lead to residual stress when the composite is molded and cooled. The crack growth model is improved by the modified stress ratio based on residual stress. Although the data obtained by the new model are not consistent with the experimental data very well, it can still prove that the idea of establishing the model is effective to a certain extent.

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“…In such circumstances, many studies that focus on small sample based technique to lower time and test cost are carried out [11]- [14]. Gao et al [15] proposed a method for obtaining P-S-N curves under the condition of small sample from a perspective of geometry. Based on the failure trajectory concept and backwards statistical inference technique, Xie et al [16] designed experimental programs to fit P-S-N curve with a small number of test data.…”

Section: Introductionmentioning

confidence: 99%

Small Sample-Based Fatigue Reliability Analysis Using Non-Intrusive Polynomial Chaos

Liu

Sun

2020

IEEE Access

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Based on small sample of fatigue test data, a new method to obtain p-S-N curve for fatigue reliability analysis using non-intrusive polynomial chaos (NIPC) is proposed to lower test cost. Parameter C in Basquin S-N model is regarded as random variable. Samples of C are calculated through inverse analysis based on small sample of fatigue test life. Then non-intrusive polynomial chaos expansions of C with respect to fatigue life are constituted under different stress levels. Statistics of C can be calculated directly by polynomial coefficients. A fast large-sample of C can be obtained based on NIPC and probability distribution type can be determined through EDF test. Then samples of C under the stress levels can be obtained and substituted into S-N model to calculate corresponding fatigue life samples. The fatigue life under different reliabilities are calculated for fitting p-S-N curve. Fatigue test of Al 2024-T3 plate with hole is performed. p-S-N curves are obtained by proposed method and compared with that obtained by linear regression based on least square method. Almost all relative errors are less than 5%, which show that the proposed method can predict p-S-N curve effectively. INDEX TERMS Fatigue reliability analysis, non-intrusive polynomial chaos, p-S-N curve, small sample, Basquin S-N model, aluminium alloy 2024-T3.

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A new method for obtaining P-S-N curves under the condition of small sample

Cited by 18 publications

References 20 publications

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

Path Planning Algorithm for Fatigue Life Prediction of SiC/AL MMCs Considering Residual Stress

Small Sample-Based Fatigue Reliability Analysis Using Non-Intrusive Polynomial Chaos

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