2009
DOI: 10.1016/j.ijplas.2008.06.007
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Fatigue life predictions by integrating EVICD fatigue damage model and an advanced cyclic plasticity theory

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Cited by 43 publications
(18 citation statements)
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“…For multiaxial loading some trials have been published, e.g. [22], to use plastic work as the responsible quantity for incrementally increasing the fatigue damage. The models have not yet achieved a wide acceptance.…”
Section: Challenge 3: Definition Of a Damaging Event -Or A Cyclementioning
confidence: 99%
“…For multiaxial loading some trials have been published, e.g. [22], to use plastic work as the responsible quantity for incrementally increasing the fatigue damage. The models have not yet achieved a wide acceptance.…”
Section: Challenge 3: Definition Of a Damaging Event -Or A Cyclementioning
confidence: 99%
“…That is, the fatigue lives predicted by Miner rule are lower than experimental values the for increasing loading and are higher than the experimental results for decreasing loading under the same loading level [2]. Therefore, many methods [3][4][5][6][7][8][9][10][11][12] has been conducted to predict fatigue life under variable loading condition based on nonlinear damage cumulative model. Especially, the literatures [13][14][15][16] explore methods to predict the fatigue life of aluminum alloy 2024-T42 subjected to variable amplitude loading.…”
Section: Introductionmentioning
confidence: 99%
“…An interesting approach to characterize low cycle fatigue accounting for non-regular cycles is the one proposed by Jiang et al [13], which defines an independent continuous cumulative damage function (EVICD) based on the accumulation of plastic strain energy. This formulation is based on previous models of EVICD ([14], [15] and [16]) and states that the total damage can be computed as:…”
mentioning
confidence: 99%
“…With this approach, the authors obtain an evolution of the fatigue damage parameter as the simulation evolves, the material failure is obtained when 1  D . In [13], the model is tested for fatigue ranges between 10 3 to 10 7 cycles, which corresponds to low and high cycle fatigue.…”
mentioning
confidence: 99%
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