2012
DOI: 10.1016/j.ijfatigue.2011.07.011
|View full text |Cite
|
Sign up to set email alerts
|

On the effect of random defects on the fatigue notch factor at different stress ratios

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
6
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 11 publications
0
6
0
Order By: Relevance
“…(6). In order to compute the fatigue failure probability from FE-results, the integration term in Eq.…”
Section: The D-model Defect Based Mechanisms For Fatiguementioning
confidence: 99%
See 1 more Smart Citation
“…(6). In order to compute the fatigue failure probability from FE-results, the integration term in Eq.…”
Section: The D-model Defect Based Mechanisms For Fatiguementioning
confidence: 99%
“…In a solid mechanics setting, the defects can be modeled using either stress based models like the Weakest Link (WL)-integral, [1,2], as in [3][4][5], or defect tolerant approaches for instance [6]. The defects can be either internal, volumetric, defects or surface defects.…”
Section: Introductionmentioning
confidence: 99%
“…The concept of weakest-link is widely used to account for the statistical variability 5 in low-cycle fatigue [38], in assessing the mean stress effect [39], in reinterpreting the Kitagawa-Takahashi diagram [40], in estimating the microstructure-sensitivity of the fatigue notch factor [41]. Fracture mechanics approaches encapsulating a stochastic fatigue crack growth rate law have been proposed to estimate the statistical distribution of the fatigue life spent for crack propagation [42,43].…”
Section: Introductionmentioning
confidence: 99%
“…To estimate the fatigue failure probability, continuous efforts were made on the appropriate treatments of uncertainties in fatigue process, such as basic material properties (eg, elastic modulus, fracture toughness, and yield strength), 6,7 equivalent initial flaw size, 8 surface cracks, 9 and defects.. 10,11 However, these probabilistic approaches are focused on describing life variety at a specimen's level. It is recognized that combining finite element analysis (FEA) and cyclic plasticity model in a component level can yield more accurate results.…”
Section: Introductionmentioning
confidence: 99%