Multiaxial fatigue life prediction model based on an improved strain energy density criterion

Ren, Zhong; Qin, Xianrong; Zhang, Qing; Sun, Yuantao

doi:10.1016/j.ijpvp.2022.104724

Cited by 12 publications

(3 citation statements)

References 35 publications

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“…As for multiaxial loading, many fatigue life estimation criteria have been developed in different expressions. Most of these models can be divided into the following four categories, that is, stress-based approaches, [3][4][5][6][7][8] strainbased approaches, [9][10][11][12][13][14][15] strain-energy-based approaches, [16][17][18][19][20][21][22][23] and fracture mechanics approaches. [24][25][26][27][28][29] Among these fatigue life prediction models, those that combine the concept of critical plane and strain energy density are considered highly advanced for estimating multiaxial fatigue life of materials.…”

Section: Introductionmentioning

confidence: 99%

Multiaxial fatigue life prediction using an improved Smith‐Watson‐Topper model

Li,

Shao,

et al. 2024

Fatigue Fract Eng Mat Struct

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In this paper, the SWT model was improved by incorporating the Walker equation into the strain–life curve. The established model takes into account the material's sensitivity to mean stress by introducing the Walker exponent, w. Under uniaxial loading condition, the proposed model can reduce to the SWT model, Manson‐Coffin equation, and Walker model for w values of 0.5, 1, and 0, respectively. Under multiaxial symmetric loading, when w = 0.5, the proposed model can be simplified as another SWT correction model (CXH) proposed by Chen et al. The prediction accuracy of the established model was validated using about 200 data points collected from literature. These data points were obtained from tests conducted on eight different kinds of metals under various multiaxial loading paths. The verification results indicate that 96.8% and 97.9% of the data points fall within the factor‐of‐three boundary for the loading paths without and with mean stresses, respectively.

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Section: Introductionmentioning

confidence: 99%

Multiaxial fatigue life prediction using an improved Smith‐Watson‐Topper model

Li,

Shao,

et al. 2024

Fatigue Fract Eng Mat Struct

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“…Random multiaxial fatigue life prediction process generally includes three steps: firstly, determining the multiaxial fatigue damage parameters, second, the load spectrum is processed by the rainflow cycle counting method and finally, the criterion of damage accumulation is obtained. Based on the constant amplitude multiaxial fatigue tests, researchers have proposed many methods with different multiaxial fatigue parameters to predict the multiaxial fatigue life (Ren et al, 2022;Zhao et al, 2021;Liao et al, , 2020Branco et al, 2018;Zhong et al, 2017). Smith et al (1970) proposed the SWT (Smith-Watson-Topper) model based on the energy concept, which took into account both maximum normal stress and normal strain.…”

Section: Introductionmentioning

confidence: 99%

Critical plane-based fatigue life model under multiaxial random loading

Wang

Liu

Hua

et al. 2022

IJSI

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PurposeEngineering components/structures are usually subjected to complex and variable loads, which result in random multiaxial stress/strain states. However, fatigue analysis methods under constant loads cannot be directly applied to fatigue life prediction analysis under random loads. Therefore, the purpose of this study is how to effectively evaluate fatigue life under multiaxial random loading.Design/methodology/approachFirst, the average phase difference is characterized as the ratio of the number of shear strain cycles to the number of normal strain cycles, and the new non-proportional additional hardening factor is proposed. Then, the determined random typical load spectrum is processed into a simple variable amplitude load spectrum, and the damage in each plane is calculated according to the multiaxial fatigue life prediction model and Miner theory. Meanwhile, the cumulative damage can be calculated separately by projection method. Finally, the maximum projected cumulative damage plane is defined as the critical plane of multiaxial random fatigue.FindingsThe fatigue life prediction capability of the method is verified based on test data of TC4 titanium alloy under random multiaxial loading. Most of the predicting results are within double scatter bands.Originality/valueThe objective of this study is to provide a reference for the determination of critical plane and non-proportional additional hardening factor under multiaxial random loading, and to promote the development of multiaxial fatigue from experimental studies to practical engineering applications.

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“…Figure 2 exemplifies the applied convention, depicting the individual parts of the SED for an illustrative stabilized hysteresis loop. The total strain energy density concept was successfully applied to calculate the fatigue life of unnotched and notched components made of various materials under uniaxial and multiaxial loading conditions [64][65][66][67][68]. However, as an analytical calculation of…”

mentioning

confidence: 99%

A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Components

2023

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The fatigue strength of cast steel components is severely affected by manufacturing process-based bulk and surface imperfections. As these defect structures possess an arbitrary spatial shape, the utilization of local assessment methods is encouraged to design for service strength. This work applies the elastic–plastic strain energy density concept to study the fatigue strength properties of a high-strength cast steel alloy G12MnMo7-4+QT. A fatigue design limit curve is derived based on non-linear finite element analyses which merges experimental high-cycle fatigue results of unnotched and notched small-scale specimens tested at three different stress ratios into a unique narrow scatter band characterized by a scatter index of 1:TΔW¯(t)=2.43. A comparison to the linear–elastic assessment conducted in a preceding study reveals a significant improvement in prediction accuracy which is assigned to the consideration of the elastic–plastic material behaviour. In order to reduce computational effort, a novel approximation is presented which facilitates the calculation of the elastic–plastic strain energy density based on linear–elastic finite element results and Neuber’s concept. Validation of the assessment framework reveals a satisfying agreement to non-linear simulation results, showing an average root mean square deviation of only approximately eight percent in terms of total strain energy density. In order to study the effect of bulk and surface imperfections on the fatigue strength of cast steel components, defect-afflicted large-scale specimens are assessed by the presented elastic–plastic framework, yielding fatigue strength results which merge into the scatter band of the derived design limit curve. As the conducted fatigue assessment is based solely on linear–elastic two-dimensional simulations, the computational effort is substantially decreased. Within the present study, a reduction of approximately 400 times in computation time is observed. Hence, the established assessment framework presents an engineering-feasible method to evaluate the fatigue life of imperfective cast steel components based on rapid total strain energy density calculations.

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Multiaxial fatigue life prediction model based on an improved strain energy density criterion

Cited by 12 publications

References 35 publications

Multiaxial fatigue life prediction using an improved Smith‐Watson‐Topper model

Multiaxial fatigue life prediction using an improved Smith‐Watson‐Topper model

Critical plane-based fatigue life model under multiaxial random loading

A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Components

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