2020
DOI: 10.3390/polym12020251
|View full text |Cite
|
Sign up to set email alerts
|

Fatigue Life Estimation with Mean Stress Effect Compensation for Lightweight Structures—The Case of GLARE 2 Composite

Abstract: This paper describes the current state-of-the-art in fatigue life assessment for lightweight composite structures with the use of the frequency domain fatigue life calculation method. Random stationary gaussian loading signals have been generated and served in the process of fatigue calculation. The material information that is being used in the calculation process has been obtained from literature for the Glare 2 composite. The effect of nonzero mean stress and different fiber orientations have been taken int… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(13 citation statements)
references
References 20 publications
0
13
0
Order By: Relevance
“…This is especially clear in the fatigue failure diagram in Figure 6 c, where the relationship between stress amplitude and mean stress are linear for each value of R , and the fatigue endurance (run-out) line is formed by the smallest values from each series. A variety of fatigue failure criteria has been developed for metal alloys and applied to composite materials [ 52 , 53 , 54 ], most notably the Goodman criterion, which is given by the following: where σ w is an upper bound on the stress amplitude when the mean stress approaches zero—i.e., fully reversed loading. However, this criterion clearly does not fit the experimental data for BFPP, as the fatigue limit is overestimated.…”
Section: Resultsmentioning
confidence: 99%
“…This is especially clear in the fatigue failure diagram in Figure 6 c, where the relationship between stress amplitude and mean stress are linear for each value of R , and the fatigue endurance (run-out) line is formed by the smallest values from each series. A variety of fatigue failure criteria has been developed for metal alloys and applied to composite materials [ 52 , 53 , 54 ], most notably the Goodman criterion, which is given by the following: where σ w is an upper bound on the stress amplitude when the mean stress approaches zero—i.e., fully reversed loading. However, this criterion clearly does not fit the experimental data for BFPP, as the fatigue limit is overestimated.…”
Section: Resultsmentioning
confidence: 99%
“…Other examples with electronic devices [61,62] are discussed in the following section. Concerning composite materials, spectral based approaches attempt to reformulate strength criteria for composite materials (e.g., Tsai-Hill [63], residual strength, or stiffness model [64,65]) to extend their validity to the frequency domain for the case of random vibrations [66]. Even for metal/composite assemblies undergoing random vibrations, an example demonstrates how to combine finite element analysis with spectral methods successfully [67].…”
Section: Area Of Application Of Spectral Methodsmentioning
confidence: 99%
“…It finally has to be mentioned how the good accuracy of the Dirlik method encompasses not only metallic materials, but also advanced materials as composites [66]. Reproduced from [30,62] with permission from Elsevier.…”
Section: Comparison With Experimentsmentioning
confidence: 99%
“…These material compounds are of great importance, especially as structural materials in aircraft construction compared to conventional aluminum alloys, due to the lower crack growth based on the fiber bridging effect [ 1 , 2 , 3 ]. Much of the scientific research especially in the field of mechanical and fatigue properties is based on GLARE, which is a multi-layer combination of aluminum alloy AA2024 and glass fiber-reinforced epoxy resin layers [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. The elaborate and complex production of the thermosetting-based multi-layer materials is time- and cost-intensive and unsuitable for large-scale production.…”
Section: Introductionmentioning
confidence: 99%