A Modified Cumulative Damage Model for Fatigue Life Prediction under Variable Amplitude Loadings

Yue, Peng; Lei, Qiang; Zhang, Cheng Lin; Zhu, Shibai; Huang, Hong Zhong

doi:10.4028/www.scientific.net/amm.853.62

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Generally, Miner's rule is based on the fatigue limit of the component to judge whether the stress will cause damage to the component, but the fatigue limit of the component is affected by many external uncertain factors, which is a "uncertain" quantity. Therefore, this uncertainty factor is also transmitted to the next link, leading to the uncertainty of whether the stress causes fatigue damage to the components [11]. In the above content, it has been discussed that the order of loading is an important factor of fatigue life.…”

Section: Miner's Rule Based On Fuzzy Theorymentioning

confidence: 99%

Research and Use of Mechanical Structure Fatigue Damage Using Membership Function

2020

IJOMAM

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Section: Miner's Rule Based On Fuzzy Theorymentioning

confidence: 99%

Research and Use of Mechanical Structure Fatigue Damage Using Membership Function

2020

IJOMAM

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“…, 2017; Kim et al. , 2013), and many experts and scholars have done a lot of research work on this issue with quite a few results achieved (Zhou & Li, 2010; Yue et al. , 2016; Wang, Liu, & Shang, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…As fatigue life prediction is related to the safety of the whole welded structure, more reasonable fatigue life prediction technology is urgently needed in the domestic railway vehicle industry to meet the actual needs of engineering practice. It is of great practical significance to study the life prediction of welded load-bearing structures (Liu et al, 2017;Kim et al, 2013), and many experts and scholars have done a lot of research work on this issue with quite a few results achieved (Zhou & Li, 2010;Yue et al, 2016;Wang, Liu, & Shang, 2013).…”

Section: Introductionmentioning

confidence: 99%

An improved fatigue life prediction model based on loading sequence

Xue

2022

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PurposeIn view of the difficulty in determining the key parameters d in the Corten-Dolan model, based on the introduction of small loads, damage degrees and stress states to the Corten-Dolan model and the existing improved model, the sequential effects of the adjacent two-stage load were further considered.Design/methodology/approachTwo improved Corten-Dolan models were established on the basis of modifying the parameter d by two different methods, namely, increasing stress ratio coefficient as well as considering the effects of loading sequence and damage degree as independent influencing factors respectively. According to the test data of the welded joints of common materials (standard 45 steel), alloy materials (standard 16Mn steel) and Q235B steel, the validity and feasibility of the above two improved models for fatigue life prediction were verified.FindingsResults show that, compared with the traditional Miner model and the existing Corten-Dolan improved model, the two improved models have higher prediction accuracy in the fatigue life prediction of welding materials whether under two-stage load or multi-stage load.Originality/valueBecause the mathematical expressions of the models are relatively simple and need no multi-layer iterative calculation, it is convenient to predict the fatigue life of welded structure in practical engineering.

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“…In recent years, many experts have carried out a lot of research on the fatigue life of welded structures and solved many practical problems (Yue et al, 2016;Kim et al, 2013;Rege and Pavlou, 2017). Based on the S-N curve data of fatigue life obtained through experiments, the cumulative damage mode is one of the main analysis methods, and the cumulative fatigue damage mode is the primary problem to be solved when using this method, which is the core theory.…”

Section: Introductionmentioning

confidence: 99%

Improved fatigue damage accumulation analysis based on material memory property

Xue

et al. 2020

IJSI

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PurposeFor the difference of the change law of material memory performance and the influence of damage state on memory performance, this paper aims to establish a general model of fatigue damage accumulation based on dynamic residual S–N curve and material memory characteristics.Design/methodology/approachThis paper introduces the material memory characteristics, combined with the residual S–N curve method, and uses the exponential decay function of the load cycle to construct the material memory performance function. While considering the damage state, the loading order can be fully considered. The parameter d in the function not only represents the variation of the material's memory property, but also considers the influence of the damage state.FindingsAccording to the test data of welding joints of common materials, alloy materials and other materials, the validity and feasibility of the fatigue cumulative damage model constructed were verified. The numerical results show that under the grading load, the fatigue cumulative damage model can be used to predict the fatigue life of welded structures and has high prediction accuracy and more approximate to the actual experiment results. It can be directly applied to the fatigue life prediction and design of actual engineering welded structures.Originality/valueThe model not only considers the effect of damage state and loading order on damage accumulation, but also contains only one material parameter, which is easy to obtain. The prediction accuracy and engineering practicability of fatigue were significantly improved.

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A Modified Cumulative Damage Model for Fatigue Life Prediction under Variable Amplitude Loadings

Cited by 5 publications

References 12 publications

Research and Use of Mechanical Structure Fatigue Damage Using Membership Function

Research and Use of Mechanical Structure Fatigue Damage Using Membership Function

An improved fatigue life prediction model based on loading sequence

Improved fatigue damage accumulation analysis based on material memory property

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