2018
DOI: 10.1051/matecconf/201816513004
|View full text |Cite
|
Sign up to set email alerts
|

Microstructurally small fatigue crack growth rates in aluminium alloys for developing improved predictive models

Abstract: Abstract. The fatigue or durability life of a few critical structural metallic components often sets the safe and/or economic useful life of a military airframe. In the case of aluminium airframe components, growth rates, at or soon after fatigue crack nucleation are being driven by near threshold local cyclic stress intensities and thus are very low. Standard crack growth rate data is usually generated from large cracks, and therefore do not represent the growth of small cracks (typically <1mm). Discussed her… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 22 publications
0
5
0
Order By: Relevance
“…The calculation of these two values allowed crack growth rate curves to be produced as shown in Section 3. Similar methods have been used in other publications and shown to produce accurate results that allow for improved crack growth rate predictions at all crack lengths 3,26,39–41 …”
Section: Materials and Experimental Proceduresmentioning
confidence: 94%
See 1 more Smart Citation
“…The calculation of these two values allowed crack growth rate curves to be produced as shown in Section 3. Similar methods have been used in other publications and shown to produce accurate results that allow for improved crack growth rate predictions at all crack lengths 3,26,39–41 …”
Section: Materials and Experimental Proceduresmentioning
confidence: 94%
“…Similar methods have been used in other publications and shown to produce accurate results that allow for improved crack growth rate predictions at all crack lengths. 3,26,[39][40][41] A HIM 32 was the predominant imaging tool used in this study. It was utilized for both the quantitative fractography images, as well as general fractographic analysis.…”
Section: Materials and Experimental Proceduresmentioning
confidence: 99%
“…30 The inputs and parameters used for these predictions are listed in Table 3 below and were chosen as the best match for the experimental conditions presented herein. A specific material data set for small and nearthreshold FCGRs 25,31 consistent with the findings of past complex fatigue lifing analysis 33 was chosen. To model the residual stress field arising from the cold expansion process, references were sought from the open literature for AA 7050 plate specimens of approximately similar material and dimensions having undergone FTI 4% split sleeve cold expansion and subsequent residual stress measurement.…”
Section: Analytical Predictionmentioning
confidence: 99%
“…6 The differences of microstructure growth conditions at the crack tip are considered to be the root reason of the randomness of damage nucleation and short crack initiation. The stochastic analysis method for fatigue crack propagation mainly includes mathematical model [7][8][9] and physical simulation method. [10][11][12][13] At present, the micro-mechanism of fatigue damage has not been fully and systematically understood, and the rules of short fatigue cracks growing and population evolution need to be further clarified.…”
Section: Introductionmentioning
confidence: 99%
“…6 The differences of microstructure growth conditions at the crack tip are considered to be the root reason of the randomness of damage nucleation and short crack initiation. The stochastic analysis method for fatigue crack propagation mainly includes mathematical model 79 and physical simulation method. 1013…”
Section: Introductionmentioning
confidence: 99%