A high fatigue life prediction methodology under constant amplitude multiaxial proportional loadings

Guechichi, H.; Benkabouche, S.; Amrouche, Abdelwaheb; Mohamed, Benkhettab

doi:10.1016/j.msea.2011.02.088

Cited by 7 publications

(9 citation statements)

References 29 publications

(29 reference statements)

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“…For each load level i, the computation of the maximum equivalent stress σ i max eq can be obtained from the manner described in our previous work [26]. The determination of all maximum equivalent stresses σ i max eq of the various load blocks will be used in the new proposed model.…”

Section: Formulation Of the Proposed Fatigue Damage Modelmentioning

confidence: 99%

“…N i is the fatigue life associated with σ i max eq . According to our previous work [26], the maximum equivalent stress σ i max eq is compared with the endurance limit defined from the S-N curve of fully reversed torsion test.…”

Section: Proposed Fatigue Damage Modelmentioning

confidence: 99%

“…Each unit-block can be achieved either by changing the value of static or cyclic loads, such For each kind of loading described above, three different types of load histories were investigated: High-to-Low (H-L), Low-toHigh (L-H) and random block-loading sequences. Each blockloading data was transformed into an associated maximum equivalent stress σ i max eq ' as explained in the previous sections, using the methodology described in our paper [26]. In order to evaluate and to make a comparison between different results obtained by the present model, under various load sequences, the first three loading blocks were chosen such that each block level i represents 25% of its corresponding lifetime (r i ¼ n i =N i ¼0.25).…”

Section: Effect Of Load Sequence On Cumulative Damage and Total Lifetimementioning

confidence: 99%

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A modified nonlinear fatigue damage accumulation model under multiaxial variable amplitude loading

Benkabouche

Guechichi

Amrouche

et al. 2015

International Journal of Mechanical Sciences

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Section: Formulation Of the Proposed Fatigue Damage Modelmentioning

confidence: 99%

Section: Proposed Fatigue Damage Modelmentioning

confidence: 99%

Section: Effect Of Load Sequence On Cumulative Damage and Total Lifetimementioning

confidence: 99%

See 1 more Smart Citation

A modified nonlinear fatigue damage accumulation model under multiaxial variable amplitude loading

Benkabouche

Guechichi

Amrouche

et al. 2015

International Journal of Mechanical Sciences

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“…Fatigue performance of components are extensively been evaluated with numerical tools [20][21][22][23][24][25]. Published literature has highlighted the importance of mesh refinement in critical areas such as the contact region [20] and stress concentration [21,22] to produce a more precise outcome when utilising numerical tools. Stress-life fatigue analysis utilised in the numerical tools adopts the local stress concept in evaluating fatigue.…”

Section: Introductionmentioning

confidence: 99%

An integrated experimental and numerical method to assess the fatigue performance of recycled rail

Fan¹,

Perera²,

Tan³

2019

JMES

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Recycling of rail is practised in the railway industry to promote sustainability and economic efficiency. The functional reliability of recycled rail has to be addressed to ensure safe application. Studies on the reliability of railway rails place great emphasis on fatigue failure. However, scarcity of public domain data on recycled rails and limitation of experimental hardware capability has constrained the study on the fatigue of recycled rails. The aim of the investigation is to propose a novel integrated approach for exploring the fatigue performance of recycled rail effectively and efficiently. A high cycle fatigue test was conducted on a recycled rail specimen to obtain data for the validation of the finite element (FE) numerical model. Following this, the FE numerical model was incorporated with the stepwise load increase test (LIT) method. The integrated method gave a more conservative prediction of the fatigue performance than the analytical method. The shot blasting process induced compressive residual stress which affected the specimen’s fatigue performance. This result was demonstrated by the integrated method. Furthermore, this integrated method also successfully reduced the overall required test time. The predicted endurance limit of the specimen was 130.37MPa, accomplishing the BS EN 13674-1:2011 standard.

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“…Ref [4] used the S-N curve and the crack growth rate curvet predict the fatigue life. Ref [5] proposed a method to predict the fatigue-life based on linear elastic analysis and used it to predict the fatigue for different materials subjected to constant amplitude multiaxial proportional loading. Ref [6] Used ΔK-N curve utilizing finite element analysis to predict the fatigue life of spot welds starting from coarse finite element meshes and ending at one unique ΔK-N curve.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the fatigue life distribution for aluminum through its mechanical characteristics

Ramadan

Zaid

2016

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract.A novel and reliable theoretical model based on the Birnbaum-Saunders (BISA) distribution is presented from which the fatigue life can be determined. Experimental verification of the model is in progress and will be published in due course. IntroductionAccording to a poll conducted in 1985 by the American Society for Quality Control, reliability was the second most important attribute among the ten most important products attributes [1]. This result is expected as the impact of product failure can range from minor injuries and/or loss to sever injuries/death and/orloss. Therefore, the precise prediction of failures can save lives and money. Usually, the reliability of the products is determined through one of several types of life testing. The primary objective of these tests is to quantify the reliability of the product, which can be used to determine whether a set of goals for the product are met or not. Typically the result of the reliability test is a set of failure times that is analyzed statistically to predict the reliability distribution through curve fitting. One of the disadvantages of this method is the high cost and time in some circumstances especially when regular life tests are used. Another disadvantage is the low accuracy of the test when accelerated life tests are used due to extrapolation. Moreover, this approach pays no attention to the strong relationship between the mechanical properties and the reliability distribution of the product as it uses parametric or nonparametric statistical methods to predict the reliability from the failure data and not from the mechanical properties of the product.Little work has been done to predict the life of products through methods other than life testing. Good references for fatigue life prediction methods can be found in [2]. Ref [3] predicted the fatigue life of the tibial component of a polymeric PMMA space rutilizingmultiaxial fatigue coupled with computational simulations and material properties. Ref [4] used the S-N curve and the crack growth rate curvet predict the fatigue life. Ref [5] proposed a method to predict the fatigue-life based on linear elastic analysis and used it to predict the fatigue for different materials subjected to constant amplitude multiaxial proportional loading. Ref [6] Used ΔK-N curve utilizing finite element analysis to predict the fatigue life of spot welds starting from coarse finite element meshes and ending at one unique ΔK-N curve.Among the little available non life-testing prediction methods, prediction through fitting the mechanical properties to the life distribution parameters' was absent. The primary objective of this paper is to propose a method for fatigue failure mode life prediction of carbon steel shafts through their mechanical properties. The primary advantage of this method is in saving time and money. Once the relationship between the mechanical properties and the reliability distribution parameters for the

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A high fatigue life prediction methodology under constant amplitude multiaxial proportional loadings

Cited by 7 publications

References 29 publications

A modified nonlinear fatigue damage accumulation model under multiaxial variable amplitude loading

A modified nonlinear fatigue damage accumulation model under multiaxial variable amplitude loading

An integrated experimental and numerical method to assess the fatigue performance of recycled rail

Prediction of the fatigue life distribution for aluminum through its mechanical characteristics

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