Evaluation of data sets usable for validating multiaxial fatigue strength criteria

Papuga, Jan; Kaľavský, Adam; Lutovinov, Maxim; Vízková, Ivona; Parma, S.; Nesládek, Martin

doi:10.1016/j.ijfatigue.2020.106093

Cited by 13 publications

(31 citation statements)

References 82 publications

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“…Fatigue experiments tend to result in some scatter. Secondly, though the scope of analyses performed to build up the FatLim set was tremendous and many potential items were filtered out [32], it still relies on second-hand data. Some specific details that would cause some given data items to be rejected can stay hidden.…”

Section: Methods Of Assessmentmentioning

confidence: 99%

“…The full FatLim benchmark is currently composed of 284 items. This is a much smaller number than the FatLim referred to in [26], because many stringent criteria were applied to assess the validity of the data accepted in it [32]. The load cases collected can be categorized according to their various aspects into the groups shown in Table 1.…”

Section: Used Benchmark Data Setsmentioning

confidence: 99%

“…The validation in this paper is documented on the AMSD25 benchmark set. To see the difference in the response, the original full-scale FatLim data set [32] used for its definition is also applied. The resulting data are compared and the weak points of the new criteria are highlighted.…”

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confidence: 99%

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Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes

Papuga

Nesládek

Hasse

et al. 2022

Metals

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The paper presents a comparison of six recently introduced multiaxial fatigue strength estimation criteria to four methods, the large-scope validation of which has already been published. The results obtained for each newer method are analyzed and discussed. From the newer methods, only the criterion by Böhme reaches an estimation quality similar to the best performing criteria. The validation was performed on the FatLim data sets, but the primary focus of the paper is set to analyzing the validation on a smaller AMSD25 data set derived from it. The comparison shows that the application of AMSD25 for validation practice allows users to reduce the number of evaluated test cases, while generally preserving the worst cases showing the weaknesses of various estimation methods.

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Section: Methods Of Assessmentmentioning

confidence: 99%

Section: Used Benchmark Data Setsmentioning

confidence: 99%

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Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes

Papuga

Nesládek

Hasse

et al. 2022

Metals

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“…Due to the intrinsic nature of such multiaxial tests, these cases thus cover only axial‐torsion load combination. The application of any pressurizing to induce also second normal stress is invariably accompanied by mean stresses, 28 so such load combination could not be addressed. The outcome of all these analyses can be summarized: MOI responds to the phase shift effect too strongly. For critical plane criteria, MCEM seems to slightly improve the prediction quality in contrast to MCCM. Crossland and Liu and Zenner criteria become phase shift insensitive if MCEM is applied. Integral criteria seem to lose some of their quality, if switched from the application from MCCM to MCEM. The Crossland method clearly benefits from switch to MCEM. Although the validation was selected with great care, the differences between MCEM and MCCM are relatively small, and they could be affected by a too limited data set scope.…”

Section: Concurring Effectsmentioning

confidence: 99%

Various parameters of the multiaxial variable amplitude loading and their effect on fatigue life and fatigue life computation

Papuga

Margetin

Chmelko

2021

Fatigue Fract Eng Mat Struct

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The paper discusses various partial solutions used for estimating fatigue life under variable amplitude multiaxial loading in the high‐cycle fatigue domain. The concurring effects are treated, and their proposed solutions are commented upon. The major focus is on the categories of the phase shift effect and of cycle counting and on the scope and quality of data, which support discussed theories. Results of own new experimental data set on specimens from S355 steel are provided. Fatigue life estimates for McDiarmid and Findley multiaxial methods and for two different methods of load path decomposition to cycles are shown to highlight some of the points open for discussion. It is concluded that the available experimental data are not sufficient to substantiate a clear decision to follow a definite algorithm.

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“…A simple Matlab script using the mathematical relations mentioned in Section 1 was used for that purpose. It can also be seen that the test group was divided into 4 stress levels with 5 tests performed at each level, which is according to Papuga [17] the minimal amount of points for a good statistical description of the fatigue curve. For a better overview of the obtained results, Tab.…”

Section: Fatigue Testmentioning

confidence: 99%

A Comprehensive Approach to the Evaluation of Material Properties of S235JR Steel

Kaľavský¹,

Palička²,

Huňady³

et al. 2021

AMS

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The paper deals with the determination of mechanical and fatigue properties of S235JR steel, which is widely used in the engineering industry and also in other industries. The paper provides a brief overview of measurement procedures and basic mathematical formulations based on the standards ČSN EN ISO 6892-1 and ČSN 42 0368. The aim of the article is to provide a comprehensive view of the evaluation of material properties using not only conventional but also modern optical methods of mechanics, such as 3D digital image correlation or laser Doppler vibrometry. The output of the performed tests are material constants, mechanical properties in tension/pressure and fatigue characteristics under bending stress. The paper also presents the technique of estimating the Young's modulus of elasticity that is based on the experimental modal analysis. All results were obtained on a series of specimens made from an identical piece of material, making them ideal for defining a material card for different databases or FEM software.

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Evaluation of data sets usable for validating multiaxial fatigue strength criteria

Cited by 13 publications

References 82 publications

Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes

Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes

Various parameters of the multiaxial variable amplitude loading and their effect on fatigue life and fatigue life computation

A Comprehensive Approach to the Evaluation of Material Properties of S235JR Steel

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