A study on modified <i>P‐S‐N</i> curve of notched specimens based on small sample under multiaxial loading

Pan, Xuemei; Liu, Jianhui; Li, Youtang; Hua, Feilong; Chen, Xiaochuang

doi:10.1111/ffe.13833

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, TC4–DT titanium alloy (Pan et al ., 2023) is selected as the research object. The material composition and fatigue properties are shown in Tables 1 and 2, while the fatigue geometric parameters of the specimens are shown in Figure 1.…”

Section: Fatigue Data Augmentation Methodsmentioning

confidence: 99%

Research on fatigue life evaluation method of shaft parts based on small sample

Liu

Zhang

Zhu

et al. 2023

IJSI

View full text Add to dashboard Cite

PurposeDue to the limitation of experimental conditions and budget, fatigue data of mechanical components are often scarce in practical engineering, which leads to low reliability of fatigue data and reduces the accuracy of fatigue life prediction. Therefore, this study aims to expand the available fatigue data and verify its reliability, enabling the achievement of life prediction analysis at different stress levels.Design/methodology/approachFirst, the principle of fatigue life probability percentiles consistency and the perturbation optimization technique is used to realize the equivalent conversion of small samples fatigue life test data at different stress levels. Meanwhile, checking failure model by fitting the goodness of fit test and proposing a Monte Carlo method based on the data distribution characteristics and a numerical simulation strategy of directional sampling is used to extend equivalent data. Furthermore, the relationship between effective stress and characteristic life is analyzed using a combination of the Weibull distribution and the Stromeyer equation. An iterative sequence is established to obtain predicted life.FindingsThe TC4–DT titanium alloy is selected to assess the accuracy and reliability of the proposed method and the results show that predicted life obtained with the proposed method is within the double dispersion band, indicating high accuracy.Originality/valueThe purpose of this study is to provide a reference for the expansion of small sample fatigue test data, verification of data reliability and prediction of fatigue life data. In addition, the proposed method provides a theoretical basis for engineering applications.

show abstract

Section: Fatigue Data Augmentation Methodsmentioning

confidence: 99%

Research on fatigue life evaluation method of shaft parts based on small sample

Liu

Zhang

Zhu

et al. 2023

IJSI

View full text Add to dashboard Cite

show abstract

“…Bai et al 18 and Li et al 19 improved this method respectively. And Liu and Pan et al 20,21 applied the bootstrap method to expand the fatigue data under the highest load level into large samples and applied the backward statistical inference method to curve fitting.…”

Section: Introductionmentioning

confidence: 99%

P–S–N curves fitting method of small samples obeying Weibull distribution

Song,

Zhao,

Xie

et al. 2024

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

A three‐parameter Weibull small sample aggregation method is proposed to address the problem of small sample fatigue data in practical engineering. First, based on the empirical assumption that the shape parameter is a constant and data equivalent conversion and aggregation, the small sample fatigue life data are converted into “equivalent large samples.” Second, through the linear relationship between logarithmic scale parameter and stress, an iterative procedure is established to estimate the scale parameters of small sample data. At the same time, the moment and rank estimation methods are used to solve the location parameters quickly. Finally, P–S–N curves with different survival rates are given, and a 7‐series aluminum alloy is selected to verify the correctness and reliability of the method proposed in this study. The results show that the predicted life obtained by the method still has high accuracy under a high survival rate, which can provide a theoretical basis for solving practical engineering problems.

show abstract

P-S-N surfaces of lifting lug structure based on extremely small samples

Lian,

Zhao,

et al. 2024

Engineering Failure Analysis

View full text Add to dashboard Cite

A study on modified P‐S‐N curve of notched specimens based on small sample under multiaxial loading

Cited by 5 publications

References 26 publications

Research on fatigue life evaluation method of shaft parts based on small sample

Research on fatigue life evaluation method of shaft parts based on small sample

P–S–N curves fitting method of small samples obeying Weibull distribution

P-S-N surfaces of lifting lug structure based on extremely small samples

Contact Info

Product

Resources

About