journal article·2025-02

Research on probability model and reliability of multiaxial fatigue life based on Huffman model

Xiaoting Liu, Xuding Song, Wanjin Guo, Jiaming Liu, Yuanzhe Dong

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Abstract

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OpenAlex topics: Fatigue and fracture mechanics · Probabilistic and Robust Engineering Design · Mechanical Failure Analysis and Simulation

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References (45)

Show source-provided references
1. Fatigue properties and cracking mechanisms of a 7075 aluminum alloy under axial and torsional loadings10.1016/j.prostr.2019.12.069 ↗
2. Evaluation of multiaxial fatigue life prediction criteria for Ni-based superalloy GH416910.1177/0954406217708214 ↗
3. Probabilistic damage tolerance assessment method based on the multi-scale crack growth model10.1016/j.engfracmech.2023.109297 ↗
4. Methods for fatigue-life estimation: A review of the current status and future trends10.1063/10.0017255 ↗
5. Local stress–strain field intensity approach to fatigue life prediction under random cyclic loading10.1016/S0142-1123(01)00051-2 ↗
6. Durability and damage tolerance analysis methods for lightweight aircraft structures: review and prospects
7. A general framework for fatigue reliability analysis of a high temperature component10.1002/qre.2399 ↗
8. Probabilistic life assessment on fatigue crack growth in mixed-mode by coupling of kriging model and finite element analysis10.1016/j.engfracmech.2015.03.040 ↗
9. A new method for obtaining P-S-N curves under the condition of small sample
10. A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history10.1016/j.ress.2023.109452 ↗
11. Fatigue reliability assessment of turbine discs under multi-source uncertainties10.1111/ffe.12772 ↗
12. Probabilistic fatigue life prediction using AFGROW and accounting for material variability10.1016/j.ijfatigue.2009.12.001 ↗
13. Probabilistic fatigue life prediction model of natural rubber components based on the expanded sample data10.1016/j.ijfatigue.2022.107034 ↗
14. Uncertainty quantification of fatigue SN curves with sparse data using hierarchical Bayesian data augmentation10.1016/j.ijfatigue.2020.105511 ↗
15. Backwards statistical inference method for P-S–N curve fitting with small-sample experiment data10.1016/j.ijfatigue.2014.01.006 ↗
16. Partial safety factor calibration from stochastic finite element computation of welded joint with random geometries10.1016/j.ress.2016.05.016 ↗
17. Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks10.1016/j.ijmecsci.2018.04.050 ↗
18. Probabilistic framework for multiaxial LCF assessment under material variability10.1016/j.ijfatigue.2017.06.019 ↗
19. Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations10.1177/1056789517737132 ↗
20. Research on fatigue reliability assessment of engine cylinder head based on neural network10.1016/j.ijfatigue.2023.107800 ↗
21. A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures10.1016/j.ress.2022.108523 ↗
22. A log-normal format for failure probability under LCF: Concept, Validation and definition of design curve10.1016/j.ijfatigue.2015.08.027 ↗
23. A multiaxial fatigue criterion for various metallic material proportional and nonproportional loading10.1016/j.ijfatigue.2005.07.007 ↗
24. Multiaxial fatigue: An overview and some approximation models for life estimation10.1016/j.ijfatigue.2011.01.003 ↗
25. An evaluation on high cycle fatigue fracture characteristics of 2024–T351 Al alloy with different surface defects10.1016/j.mechmat.2021.104133 ↗
26. Experimental study of the fatigue failure behavior of aluminum alloy 2024–T351 under multiaxial loading10.1016/j.engfailanal.2024.108684 ↗
27. Yao · 2019
28. Estimation of fatigue parameters in total strain life equation for power metallurgy superalloy FGH96 and other metallic materials10.1016/j.ijfatigue.2019.01.007 ↗
29. The low-cycle fatigue, deformation and final fracture behaviour of an austenitic stainless steel10.1016/j.msea.2005.09.081 ↗
30. Micro-scale fatigue mechanisms in metals: Insights gained from small-scale experiments and discrete dislocation dynamics simulations10.1016/j.cossms.2019.07.004 ↗
31. Novel methods for dislocation density estimation in highly compacted tangles10.1016/j.jmrt.2019.12.040 ↗
32. Probabilistic fatigue crack initiation and propagation fields using the strain energy density10.1007/s11223-018-0007-5 ↗
33. A strain energy based damage model for fatigue crack initiation and growth10.1016/j.ijfatigue.2016.03.032 ↗
34. Unified two-stage fatigue methodology based on a probabilistic damage model applied to structural details10.1016/j.tafmec.2017.09.004 ↗
35. Fatigue crack growth modeling by means of the strain energy density-based Huffman model considering the residual stress effect10.1016/j.engfailanal.2022.106543 ↗
36. Fatigue crack propagation prediction of a pressure vessel mild steel based on a strain energy density model
37. Low-cycle fatigue modeling supported by the strain energy density-based Huffman model considering the variability of dislocation density10.1016/j.engfailanal.2021.105608 ↗
38. On the consideration of normal and shear stress interaction in multiaxial fatigue damage analysis10.1016/j.ijfatigue.2017.03.042 ↗
39. A critical plane approach to multiaxial fatigue damage including out-of-phase loading10.1111/j.1460-2695.1988.tb01169.x ↗
40. Load path sensitivity and fatigue life estimation of 30CrNiMo8H10.1016/j.ijfatigue.2011.10.009 ↗
41. Fatigue reliability of structural components10.1504/IJMPT.2006.008274 ↗
42. Cumulative damage and life prediction models for high-cycle fatigue of metals: a review10.3390/met11020204 ↗
43. Degradation reliability modeling of stabilized base course materials based on a modulus decrement process10.1016/j.conbuildmat.2018.05.129 ↗
44. Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels10.1177/0954409713496772 ↗
45. Probabilistic modeling of fatigue damage accumulation for reliability prediction