Probabilistic framework for multiaxial LCF assessment under material variability
Source abstract
Abstract
Abstract The influence of material variability upon the multiaxial LCF assessment of engineering components is missing for a comprehensive description. In this paper, a probabilistic framework is established for multiaxial LCF assessment of notched components by using the Chaboche plasticity model and Fatemi-Socie criterion. Simulations from experimental results of two steels reveal that the scatter in fatigue lives can be well described by quantifying the variability of four material parameters { σ f ′ , e f ′ , b , c } . A procedure for choosing the safety factor for fatigue design has been derived by using first order approximation.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Fatigue and fracture mechanics · Probabilistic and Robust Engineering Design · High Temperature Alloys and Creep
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (73)
Show source-provided references
1. Uncertainty quantification in multiscale simulation of materials: a prospective10.1146/annurev-matsci-071312-121708 ↗
2. The stochastic finite element method: Past, present and future10.1016/j.cma.2008.11.007 ↗
3. Probabilistic low cycle fatigue life prediction using an energy-based damage parameter and accounting for model uncertainty10.1177/1056789511429836 ↗
4. Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty10.1016/j.ress.2015.10.002 ↗
5. Probabilistic design for turbine disk at high temperature10.1108/00022661111138602 ↗
6. Probabilistic fatigue integrity assessment in multiple crack growth analysis associated with equivalent initial flaw and material variability10.1016/j.engfracmech.2016.02.018 ↗
7. Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels10.1177/0954409713496772 ↗
8. A unified criterion for fatigue-creep life prediction of high temperature components10.1177/0954410016641448 ↗
9. Cyclic plastic strain based damage tolerance for railway axles in China10.1016/j.ijfatigue.2016.08.006 ↗
10. A probabilistic approach for multiaxial fatigue criteria
11. L. Gallegos Mayorga, S. Sire, J. A. F. O. Correia, A. M. P. De Jesus, C. Rebelo, A. Fernández-Canteli, M. Ragueneau, and B. Plu, “Statistical evaluation of fatigue strength of double shear riveted connections and crack growth rates of materials from old bridges”, Eng. Fract. Mech., vol. in press, p. 2017, DOI: 10.1016/j.engfracmech.2017.05.039.10.1016/j.engfracmech.2017.05.039 ↗
12. ISO EN 1993, Eurocode 3: design of steel structures. 2005.
13. FKM Guideline, Analytical strength assessment of components in mechanical engineering. 2012.
14. ASME BPVDC III-Div. 1, ASME boiler & pressure vessel design code – III Div. 1 – rules for construction of nuclear facility components. 2005.
15. Code design and evaluation for cyclic loading – sections III and VIII
16. Tong Y. Literature review on aircraft structural risk and reliability analysis, Tech Rep DSTR-1306. DSTO Aeronaut. Marit. Res. Lab., 2001.
17. Probabilistic fatigue life prediction using AFGROW and accounting for material variability10.1016/j.ijfatigue.2009.12.001 ↗
18. A software framework for probabilistic fatigue life assessment of gas turbine engine rotors10.1520/JAI19041 ↗
19. Application of probabilistic fracture mechanics to prognosis of aircraft engine components10.2514/1.13142 ↗
20. Uncertainty quantification and model validation of fatigue crack growth prediction10.1016/j.engfracmech.2011.02.017 ↗
21. Inference of equivalent initial flaw size under multiple sources of uncertainty10.1016/j.ijfatigue.2010.06.008 ↗
22. Fatigue probability assessment including aleatory and epistemic uncertainty with application to gas turbine compressor blades10.1016/j.ijfatigue.2016.10.001 ↗
23. Reducing uncertainty in fatigue life limits of turbine engine alloys10.1016/j.ijfatigue.2013.01.012 ↗
24. Towards a physics-based description of fatigue variability behavior in probabilistic life-prediction10.1016/j.engfracmech.2008.10.013 ↗
25. A probabilistic total fatigue life model incorporating material inhomogeneities, stress level and fracture mechanics10.1016/S0142-1123(01)00163-3 ↗
26. Probabilistic simulation of fatigue damage and life scatter of metallic components10.1016/j.ijplas.2012.11.001 ↗
27. On probabilistic yielding of materials10.1002/cnm.1133 ↗
28. Probabilistic modeling and sizing of embedded flaws in ultrasonic non-destructive inspections for fatigue damage prognostics and structural integrity assessment10.1016/j.ndteint.2013.09.003 ↗
29. Probabilistic fatigue life prediction using an equivalent initial flaw size distribution10.1016/j.ijfatigue.2008.06.005 ↗
30. Fatigue life prediction based on an equivalent initial flaw size approach and a new normalized fatigue crack growth model10.1016/j.engfailanal.2016.04.003 ↗
31. An energy-based microstructure model to account for fatigue scatter in polycrystals10.1016/j.jmps.2010.12.014 ↗
32. McDowell DL. Simulation-based strategies for microstructure-sensitive fatigue modeling, Mater Sci Eng A, vol. 468–70, no. SPEC. ISS., p. 4–14, 2007.10.1016/j.msea.2006.08.129 ↗
33. A microstructure-based time-dependent crack growth model for life and reliability prediction of turbopropulsion systems10.1007/s11661-013-1971-9 ↗
34. Statistical aspects of fatigue life and endurance limit10.1111/j.1460-2695.2010.01445.x ↗
35. Creep-fatigue behavior of turbine disc of superalloy GH720Li at 650 C and probabilistic creep-fatigue modeling10.1016/j.msea.2016.05.117 ↗
36. On fitting a fatigue model to data10.1016/S0142-1123(98)00048-6 ↗
37. A Bayesian analysis of fatigue data10.1016/j.strusafe.2009.08.001 ↗
38. A log-normal format for failure probability under LCF: Concept, validation and definition of design curve10.1016/j.ijfatigue.2015.08.027 ↗
39. Socie D, Downing S. Statistical strain-life fatigue analysis, Sae Tech. Pap., no. 960566, 1996.10.4271/960566 ↗
40. Multiaxial fatigue reliability analysis of railroad wheels10.1016/j.ress.2006.12.021 ↗
41. A probabilistic model for multiaxial high cycle fatigue10.1111/j.1460-2695.2006.01087.x ↗
42. Data scatter in multiaxial fatigue: From the infinite to the finite fatigue life regime10.1016/j.ijfatigue.2005.01.009 ↗
43. Structural integrity assessment of metallic components under multiaxial fatigue: the C-S criterion and its evolution10.1111/ffe.12037 ↗
44. A simple and efficient reformulation of the classical Manson-Coffin curve to predict lifetime under multiaxial fatigue loading-Part II: notches10.1115/1.3078300 ↗
45. Fatigue life under non-Gaussian random loading from various models10.1016/j.ijfatigue.2003.08.017 ↗
46. Bayesian framework for probabilistic low cycle fatigue life prediction and uncertainty modeling of aircraft turbine disk alloys10.1016/j.probengmech.2013.08.004 ↗
47. Failure of metals II: Fatigue10.1016/j.actamat.2015.05.050 ↗
48. Probabilistic damage tolerance analysis on turbine disk through experimental data10.1016/j.engfracmech.2012.03.008 ↗
49. Generalized probabilistic model allowing for various fatigue damage variables10.1016/j.ijfatigue.2017.03.031 ↗
50. Fatigue assessment of a riveted shear splice based on a probabilistic model10.1016/j.ijfatigue.2009.09.004 ↗
51. A mechanistic approach to the Kitagawa-Takahashi diagram using a multiaxial probabilistic framework10.1016/j.engfracmech.2013.06.001 ↗
52. BS 7910, Guide on methods for assessing the acceptability of flaws in metallic structures, in British Standards, 2005.
53. Chopra O, Shack W. Review of the margins for ASME code fatigue design curve – effects of surface roughness and material variability. Tech Rep NUREG/ CR6815, ANL-02/39. U.S. Nuclear Regulatory Commission, 2003.10.2172/925073 ↗
54. Random cyclic stress-strain responses of a stainless steel pipe-weld metal I – a statistical investigation10.1016/S0029-5493(00)00243-0 ↗
55. Random cyclic stress-strain responses of a stainless steel pipe-weld metal II - a modeling10.1016/S0029-5493(00)00242-9 ↗
56. Dowling · 1998
57. Statistical evaluation of strain-life fatigue crack initiation predictions10.1016/j.ijfatigue.2003.10.003 ↗
58. Strain-life curves of steels and methods for determining the curve parameters. Part 1 conventional methods10.1007/s11223-010-9253-x ↗
59. A review of some plasticity and viscoplasticity constitutive theories10.1016/j.ijplas.2008.03.009 ↗
60. On the plastic and viscoplastic constitutive equations, Part I and II10.1115/1.3264257 ↗
61. A mathematical representation of the multiaxial Bauschinger effect10.3184/096034007X207589 ↗
62. The Chaboche nonlinear kinematic hardening model: calibration methodology and validation10.1007/s11012-008-9115-9 ↗
63. Imaoka S. Chaboche Nonlinear Kinematic Hardening Model, Memo Number STI0805A, ANSYS Release 12.0.1, 2008.
64. Mean stress effect correction in strain energy-based fatigue life prediction of metals
65. Modeling of fatigue crack growth from a notch10.1016/j.ijplas.2006.10.010 ↗
66. Zhu SP, Lei Q, Wang QY. Mean stress and ratcheting corrections in fatigue life prediction of metals. Fatigue Fract Eng Mater Struct, in press, 2017, http://dx.doi.org/10.1111/ffe.12569.10.1111/ffe.12569 ↗
67. A new energy-critical plane damage parameter for multiaxial fatigue life prediction of turbine blades10.3390/ma10050513 ↗
68. A critical plane approach to multiaxial fatigue damage including out-of-phase loading10.1111/j.1460-2695.1988.tb01169.x ↗
69. A review of critical plane orientations in multiaxial fatigue failure criteria of metallic materials10.1007/s10704-005-1088-2 ↗
70. A shear stress based critical-plane criterion of multiaxial fatigue failure for design and life prediction10.1111/j.1460-2695.1994.tb00789.x ↗
71. Socie · 2000
72. Thomas G, Varma R. Evaluation of low cycle fatigue test data in the BCR/VAMAS intercomparison programme. Tech Rep CD-NA-14105-EN-C. Commission of European Communities, 1993.
73. ASTM E739, Standard practice for statistical analysis of linear or linearized stress-life (S-N) and strain-life (ɛ -N) fatigue data. Am Soc Test Mater, 2015.