A hybrid ANN-multiaxial fatigue nonlocal model to estimate fretting fatigue life for aeronautical Al alloys
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Mechanical stress and fatigue analysis · Fatigue and fracture mechanics · Hydrogen embrittlement and corrosion behaviors in metals
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (43)
Show source-provided references
1. Recent developments in the understanding of fretting fatigue10.1016/j.engfracmech.2005.01.013 ↗
2. On the design and test of equivalent configurations for notch and fretting fatigue10.1111/ffe.12435 ↗
3. Stress gradient effects in fretting fatigue10.1016/S0301-679X(02)00134-2 ↗
4. Aspects of equivalence between contact mechanics and fracture mechanics: theoretical connections and a life-prediction methodology for fretting-fatigue10.1016/S1359-6454(98)00011-1 ↗
5. A “crack-like” notch analogue for a safe-life fretting fatigue design methodology10.1046/j.1460-2695.2003.00721.x ↗
6. A review of the use of the asymptotic framework for quantification of fretting fatigue10.1177/0309324716638968 ↗
7. Analysis of pad size effects in fretting fatigue using short crack arrest methodologies10.1016/S0142-1123(99)00077-8 ↗
8. On the prediction of high-cycle fretting fatigue strength: theory of critical distances vs. hot-spot approach10.1016/j.engfracmech.2007.03.026 ↗
9. Fretting fatigue crack nucleation: a review10.1016/j.triboint.2018.01.029 ↗
10. A crack arrest methodology based on Bazant’s parameter to fretting fatigue10.1016/j.tafmec.2018.03.001 ↗
11. The effect of rapidly varying contact stress fields on fretting fatigue10.1016/S0142-1123(01)00191-8 ↗
12. Study of size effects in fretting fatigue10.1016/j.triboint.2019.106087 ↗
13. Issues on the mean stress effect in fretting fatigue of a 7050–T7451 Al alloy posed by new experimental data10.1016/j.ijfatigue.2008.12.011 ↗
14. Fretting fatigue of 7050–T7451 Al alloy: the influence of bulk mean stress10.1016/j.ijfatigue.2020.105816 ↗
15. Investigation of crack initiation path in AA7050-T7451 under fretting conditions10.1016/j.triboint.2019.106103 ↗
16. S. Haykin, Neural Networks and Learning Machines Haykin, Pearson, 3rd edition, 2009.
17. Using artificial neural networks to predict the fatigue life of carbon and low-alloy steels10.1016/S0029-5493(99)00252-6 ↗
18. Lifetime calculation under variable amplitude loading with the application of artificial neural networks10.1016/j.ijfatigue.2004.12.010 ↗
19. Fatigue damage effect approach by artificial neural network10.1016/j.ijfatigue.2019.02.043 ↗
20. Fatigue behavior prediction and analysis of shot peened mild carbon steels10.1016/j.ijfatigue.2018.06.004 ↗
21. Study of the fatigue behavior of composites using modular ANN with the incorporation of a posteriori failure probability10.1016/j.ijfatigue.2019.105357 ↗
22. Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks10.1111/ffe.13433 ↗
23. Curved fatigue crack growth prediction under variable amplitude loading by artificial neural network10.1016/j.ijfatigue.2020.105886 ↗
24. A neural network approach to describing the fretting fatigue in aluminium-steel couplings10.1016/S0142-1123(02)00113-5 ↗
25. A New investigation on the effect of re-shot peening on fretting fatigue behavior of A17075–T6 A new investigation on the effect of re-shot peening on fretting fatigue behavior of Al7075-T610.1080/10402004.2013.812761 ↗
26. Use of artificial neural network to assess the effect of mean stress on fatigue of overhead conductors10.1111/ffe.12858 ↗
27. A machine learning approach to the prediction of fretting fatigue life10.1016/j.triboint.2019.105913 ↗
28. Geometrical effects in fatigue: a unifying theoretical model10.1016/S0142-1123(99)00007-9 ↗
29. Findley WN, Coleman JJ, Hanley BC. Theory for combined bending and torsion fatigue with data for SAE 4340 steel. Technical Report No. 1 On basic research on fatigue failures under combined stress. United States: 1956.
30. A bi-parametric Wöhler curve for high cycle multiaxial fatigue assessment10.1046/j.1460-2695.2002.00462.x ↗
31. On the characterization of the critical plane with a simple and fast alternative measure of the shear stress amplitude in multiaxial fatigue10.1016/j.ijfatigue.2011.01.002 ↗
32. Muskhelishvili NI. Some Basic Problems of the Mathematical Theory of Elasticity. Springer Netherlands; 1977. https://doi.org/10.1007/978-94-017-3034-1.10.1007/978-94-017-3034-1 ↗
33. A unifying approach to estimate the high-cycle fatigue strength of notched components subjected to both uniaxial and multiaxial cyclic loadings10.1111/j.1460-2695.2004.00759.x ↗
34. On the application of multiaxial high-cycle fatigue criteria using the theory of critical distances10.1016/j.engfracmech.2008.10.014 ↗
35. Maren AJ, Harston CT, Pap RM, Morton SG. Handbook of Neural Computing Applications. 1990. https://doi.org/10.1016/c2013-0-11292-5.10.1016/C2013-0-11292-5 ↗
36. Modeling effects of alloying elements and heat treatment parameters on mechanical properties of hot die steel with back-propagation artificial neural network10.1016/S1006-706X(18)30025-6 ↗
37. Life prediction in multiaxial high cycle fretting fatigue10.1016/j.ijfatigue.2020.105504 ↗
38. Effects of fretting wear process on fatigue crack propagation and life assessment10.1016/j.triboint.2020.106787 ↗
39. Nowell · 1988
40. Observation, analysis and prediction of fretting fatigue in 2024-T351 aluminum alloy10.1016/S0043-1648(98)00264-6 ↗
41. A comparative analysis between multiaxial stress and ΔK-based short crack arrest models in fretting fatigue10.1016/j.engfracmech.2012.06.007 ↗
42. A general model to estimate life in notches and fretting fatigue10.1016/j.engfracmech.2011.01.011 ↗
43. Neural Planner Software. ‘JustNN – free neural network software’. 2015. www.justnn.com, Accessed date: 3 March 2021.