Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: Role of the defect population in cast aluminum alloys
Source abstract
Abstract
Abstract In this study, a probabilistic model based on Monte-Carlo theory is applied to predict the fatigue behavior of cast aluminum alloys. The objective of the proposed approach is to investigate the effect of porosity (i.e. the defect size distribution and spatial density) on the fatigue strength and its associated scatter for uniaxial fatigue loads with the load ratio R = 0.1. The proposed model is applied to two cast aluminum alloys with very different defect characteristics. The results for these two alloys confirm that the model can be used to predict the average fatigue strength with a relative error
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Fatigue and fracture mechanics · Aluminum Alloy Microstructure Properties · Probabilistic and Robust Engineering Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (33)
Show source-provided references
1. Probabilistic modeling of fatigue life distribution and size effect of components with random defects10.1016/j.ijfatigue.2019.05.005 ↗
2. Probabilistic modelling of notch fatigue and size effect of components using highly stressed volume approach10.1016/j.ijfatigue.2019.06.002 ↗
3. Boromei I, Ceschini L, Morri Al, Morri An, Nicoletto G, Riva E. Influence of the solidification microstructure and porosity on the fatigue strength of Al-Si-Mg casting alloys, vol. 28; 2010. p. 7.
4. Devlukia J, Bargmann G, Rüstenberg I. Fatigue assessment of an automotive suspension component using deterministic and probabilistic approaches. In: Marquis G, Solin J, editors. European structural integrity society. Fatigue design of Components, vol. 22; 1997. p. 1–16. Elsevier. https://doi.org/10.1016/S1566-1369(97)80003-9.10.1016/S1566-1369(97)80003-9 ↗
5. Prediction of non propagating cracks10.1016/0013-7944(79)90081-X ↗
6. El Khoukhi Driss, Morel Franck, Saintier Nicolas, Bellett Daniel, Osmond Pierre. The effect of microstructural heterogeneities on the high cycle fatigue scatter of cast aluminium alloys: from an elementary volume to the structure. In: Hénaff G, editor. MATEC web of conferences, vol. 165; 2018. p. 14006. https://doi.org/10.1051/matecconf/201816514006.10.1051/matecconf/201816514006 ↗
7. El Khoukhi Driss, Morel Franck, Saintier Nicolas, Bellett Daniel, Osmond Pierre, Le Viet-Duc. Spatial point pattern methodology for the study of pores 3D patterning in two casting aluminium alloys; 2020.10.1016/j.matchar.2021.111165 ↗
8. Experimental investigation of the size effect in high cycle fatigue: role of the defect population in cast aluminium alloys10.1016/j.ijfatigue.2019.105222 ↗
9. Engelke Torben, Esderts Alfons. Analytical Strength Assessments of Austempered Ductile Iron Components, vol. 5; 2018.10.3139/120.111235 ↗
10. The statistical aspect of fatigue of materials
11. Some notes on gradient, volumetric and weakest link concepts in fatigue10.1016/j.commatsci.2008.03.021 ↗
12. Influence of casting defect and SDAS on the multiaxial fatigue behaviour of A356–T6 alloy including mean stress effect10.1016/j.ijfatigue.2015.05.012 ↗
13. Pure geometrical size effect in fatigue tests with constant stress amplitude and in programme tests10.1002/mawe.19810120205 ↗
14. A relation between theoretical stress concentration factor and fatigue notch factor deduced from the concept of highly stressed volume
15. On the use of critical distance theories for the prediction of the high cycle fatigue limit stress in notched Ti–6Al–4V10.1016/j.ijfatigue.2004.06.002 ↗
16. Multiaxial high cycle fatigue damage mechanisms associated with the different microstructural heterogeneities of cast aluminium alloys10.1016/j.msea.2015.10.026 ↗
17. Fatigue design of sintered steel components: effect of stress concentrations and mean stresses on local strength using highest stressed volume approach10.1179/0032589913Z.000000000141 ↗
18. A non-local theory applied to high cycle multiaxial fatigue10.1046/j.1460-2695.2002.00527.x ↗
19. Influence of casting defects on the fatigue behavior of cast aluminum AS7G06-T610.1016/j.ijfatigue.2014.01.011 ↗
20. Effects of defects, inclusions and inhomogeneities on fatigue strength10.1016/0142-1123(94)90001-9 ↗
21. Murakami Yukitaka. Effects of small defects and nonmetallic inclusions on the fatigue strength of metals. Key Engineering Materials. Trans Tech Publications Ltd.; 1991. https://doi.org/10.4028/www.scientific.net/KEM.51-52.37.10.4028/www.scientific.net/KEM.51-52.37 ↗
22. Invariant formulation of a gradient dependent multiaxial high-cycle fatigue criterion10.1016/S0013-7944(96)00047-1 ↗
23. Pollak Randall D. Analysis of methods for determining high cycle fatigue strength of a material with investigation of titanium-aluminum-vanadium gigacycle fatigue behavior; 2005. http://adsabs.harvard.edu/abs/2005PhDT.......271P.
24. Reliability analysis of fatigue failure of cast components for wind turbines10.3390/en8042908 ↗
25. Romano Simone, Beretta Stefano, Miccoli Stefano, Gschweitl Michael. Probabilistic framework for defect tolerant fatigue assessment of AM parts applied to a space component. ASTM International, April; 2019.10.1520/STP162020180112 ↗
26. Rotella A, Nadot Y, Piellard M, Augustin R, Influence of natural defects on the fatigue limit of a cast Al-Si alloy. In: Procedia structural integrity, 3rd international symposium on fatigue design and material defects, FDMD; 2017, 7 (January). P.513–20. https://doi.org/10.1016/j.prostr.2017.11.120.10.1016/j.prostr.2017.11.120 ↗
27. Location, location & size: defects close to surfaces dominate fatigue crack initiation10.1038/srep45239 ↗
28. Fatigue life distribution and size effect in ductile cast iron for wind turbine components10.1016/j.engfailanal.2010.07.001 ↗
29. Local assessment concepts for the structural durability of complex loaded components10.1002/mawe.200500932 ↗
30. A method for predicting the effects of specimen geometry and loading condition on fatigue strength10.3390/met8100811 ↗
31. Weibull · 1939
32. A probabilistic model of fatigue strength controlled by porosity population in a 319-type cast aluminum alloy: Part II. Monte-Carlo simulation10.1007/s11661-006-9069-2 ↗
33. Evaluation of size effect on strain-controlled fatigue behavior of a quench and tempered rotor steel: experimental and numerical study10.1016/j.msea.2018.08.073 ↗