Determination of the fatigue P-S-N curves – A critical review and improved backward statistical inference method

Li, Cunhai; Wu, Shengchuan; Zhang, Jinyuan; Xie, Liyang; Zhang, Yanhui

doi:10.1016/j.ijfatigue.2020.105789

Cited by 84 publications

(34 citation statements)

References 103 publications

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“…These approaches did not express any cracks in the weld, which is indicated by the pure quality of the region manufactured. It reflected the high-quality level of the joint and it was confirmed in comparison to the regimes of the PN-EN ISO 5817 standard [52] on a crack length ≥ 0.5 mm at the highest requirement denoted by letter B.…”

Section: The Bending Testssupporting

confidence: 57%

“…Worth to emphasis that from a practical point of view, experiments on welded specimens having a face and root can follow the additional piece of the knowledge because all sections of a joint can be tested. Comparing data from experiments on machined [49] and non-machined specimens [50], differences in weld behavior can be evidenced [51,52]. Nevertheless, this stage will be considered in the next paper, as an additional approach to examining the micro-jet cooling welded joints of S700MC steel.…”

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confidence: 99%

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MAG Welding Process with Micro-Jet Cooling as the Effective Method for Manufacturing Joints for S700MC Steel

Węgrzyn

Szymczak

Szczucka-Lasota

et al. 2021

Metals

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Advanced high-strength steel (AHSS) steels are relatively not very well weldable because of the dominant martensitic structure with coarse ferrite and bainite. The utmost difficulty in welding these steels is their tendency to crack both in the heat affected zone (HAZ) and in weld. The significant disadvantage is that the strength of the welded joint is much lower in comparison to base material. Adopting the new technology regarding micro-jet cooling (MJC) after welding with micro-jet cooling could be the way to steer the microstructure of weld metal deposit. Welding with micro-jet cooling might be treated as a very promising welding S700MC steel process. Tensile and fatigue tests were mainly carried out as the main destructive experiments for examining the weld. Also bending probes, metallographic structure analysis, and some non-destructive measurements were performed. The welds were created using innovative technology by MAG welding with micro-jet cooling. The paper aims to verify the fatigue and tensile properties of the thin-walled S700MC steel structure after welding with various parameters of micro-cooling. For the first time, micro-jet cooling was used to weld S700MC steel in order to check the proper mechanical properties of the joint. The main results are processed in the form of the Wöhler’s S–N curves (alternating stress versus number cycles to failure).

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Section: The Bending Testssupporting

confidence: 57%

mentioning

confidence: 99%

MAG Welding Process with Micro-Jet Cooling as the Effective Method for Manufacturing Joints for S700MC Steel

Węgrzyn

Szymczak

Szczucka-Lasota

et al. 2021

Metals

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“…Subsequently, Xie et al 14 elaborated the fundamental concept of failure trajectory, and a small-sample based test program for obtaining the probabilistic S-N curve was developed based on the principle of backwards statistical inference. To improve the fitting accuracy of small-sample based approach, Li et al 15 presented a modified backward statistical inference method to determine the probabilistic S-N curve of material.…”

Section: Introductionmentioning

confidence: 99%

A general method for determining probabilisticS-Ncurve based on static strength data of material

Gao

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The conventional group test method for obtaining probabilistic S- N curve is a time-consuming and expensive test program. This study aims to present an alternative method for determining the probabilistic S- N curve of material based on its static strength data. Firstly, the probabilistic mapping relationship between the static strength and fatigue life of material is elaborated. Subsequently, the Weibull distribution is utilized to model the static strength and fatigue life data of material, and the correlation between the distribution parameters of them is investigated. Finally, an alternative method for determining the probabilistic S- N curve of material is proposed, and the experimental data of carbon steels and composite laminates are applied to verify its validity. The results show that the proposed method is capable of determining the probabilistic S- N curve of material based on its static strength data, which can significantly save test time and reduce test cost. In engineering applications, when the parameters of static strength distribution and the median S- N curve are known, the probabilistic S- N curve with any given survival probability can be determined through a unified analytical expression.

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“…Based on the research of Xie et al, Tan 17 proposed a new conversion process based on the Basquin's relation. Li et al 18 proposed an improved backward statistical inference approach to increase the prediction accuracy of small-number sample life data. However, the hypothesis that standard deviations of logarithmic fatigue lives and stress levels follow a linear relationship will not always hold, especially for composite materials.…”

Section: Introductionmentioning

confidence: 99%

New probabilistic S-N curves modeling method with small-sample test data of composite materials

Bai

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Considering the large dispersion when processing small-sample fatigue test data of composite materials, a new method for modeling probabilistic S- N curves is proposed in terms of the equivalent fatigue lives. An equivalent fatigue life conversion model is first established based on two fundamental assumptions to improve the small-sample information utilized. Subsequently, a backward statistical inference technique improved by particle swarm optimization is used to determine probabilistic S- N curves through the equivalent fatigue lives. Finally, the proposed method is verified in terms of precision and stability by the fatigue test data of carbon eight-harness-satin/epoxy laminate. The results indicate that the proposed method can offer an accurate description of the probabilistic behavior of composite materials with small-sample test data.

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Determination of the fatigue P-S-N curves – A critical review and improved backward statistical inference method

Cited by 84 publications

References 103 publications

MAG Welding Process with Micro-Jet Cooling as the Effective Method for Manufacturing Joints for S700MC Steel

MAG Welding Process with Micro-Jet Cooling as the Effective Method for Manufacturing Joints for S700MC Steel

A general method for determining probabilisticS-Ncurve based on static strength data of material

New probabilistic S-N curves modeling method with small-sample test data of composite materials

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