2011
DOI: 10.1007/s11431-011-4656-x
|View full text |Cite
|
Sign up to set email alerts
|

A general model of fatigue crack growth under variable amplitude loading

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 20 publications
0
2
0
Order By: Relevance
“…These predictions are slightly conservative and follows the same trend as the experiment data. Similarly, a-da/dN curves are used for further model validation [19], as shown in Fig 15. It is clear that the prediction of the Willenborg model (dashed line) returns back much earlier than the testing data. Therefore, the modified Willenborg method based on the SEM fatigue testing observations can capture the major trends of fatigue life curves under CA loading with overloads.…”
Section: Crack Growth Prediction In 350wt Under Constant Loading Withmentioning
confidence: 99%
“…These predictions are slightly conservative and follows the same trend as the experiment data. Similarly, a-da/dN curves are used for further model validation [19], as shown in Fig 15. It is clear that the prediction of the Willenborg model (dashed line) returns back much earlier than the testing data. Therefore, the modified Willenborg method based on the SEM fatigue testing observations can capture the major trends of fatigue life curves under CA loading with overloads.…”
Section: Crack Growth Prediction In 350wt Under Constant Loading Withmentioning
confidence: 99%
“…So far, rules of FCG rates under VA loading have been investigated extensively and many models [1][2][3][4] have been proposed. To describe the integrative effect of specimen thickness, stress ratio, and material property on FCG rates explicitly and define the boundary of the retardation effect due to overloads quantitatively, a general model [4] is adopted to predict the FCG rates for numerical simulation.…”
Section: Introductionmentioning
confidence: 99%