journal article·2023-04

Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics approach

Hang-Hang Gu, Run-Zi Wang, Min-Jin Tang, Xian-Cheng Zhang, Shan-Tung Tu

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OpenAlex topics: Fatigue and fracture mechanics · Probabilistic and Robust Engineering Design · High Temperature Alloys and Creep

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References (72)

Show source-provided references
1. Effects of flexible operation on turbines and generators, Electric Power Research Institute, Palo Alto, CA
2. Monitoring low cycle fatigue damage in turbine blade using vibration characteristics10.1016/j.ymssp.2005.02.011 ↗
3. Evaluation of creep damage accumulation models: Considerations of stepped testing and highly stressed volume10.1111/j.1460-2695.2007.01135.x ↗
4. G. Marinescu, M. Sell, A. Ehrsam, P.B. Brunner, Experimental investigation into thermal behavior of steam turbine components: Part 3—startup and the impact on lcf life, in: Turbo Expo: Power for Land, Sea, and Air, American Society of Mechanical Engineers, 2013, pp. V03CT14A006.10.1115/GT2013-94356 ↗
5. Si · 2017
6. Machine learning assisted probabilistic creep-fatigue damage assessment10.1016/j.ijfatigue.2021.106677 ↗
7. Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation10.1016/j.ress.2008.12.004 ↗
8. Remaining useful life prediction based on health index similarity10.1016/j.ress.2019.02.002 ↗
9. A review on machinery diagnostics and prognostics implementing condition-based maintenance10.1016/j.ymssp.2005.09.012 ↗
10. Remaining useful life estimation based on stochastic deterioration models: A comparative study10.1016/j.ress.2012.11.022 ↗
11. An Approach to Reliability Assessment Under Degradation and Shock Process10.1109/TR.2011.2170254 ↗
12. Some Challenges and Opportunities in Reliability Engineering10.1109/TR.2016.2591504 ↗
13. Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity10.1016/j.ress.2018.04.005 ↗
14. Residual life estimation based on a generalized Wiener degradation process10.1016/j.ress.2013.11.011 ↗
15. Reliability analysis for a Wiener degradation process model under changing failure thresholds10.1016/j.ress.2017.11.006 ↗
16. Degradation modeling and condition-based maintenance of boiler heat exchangers using gamma processes10.1016/j.ress.2018.11.023 ↗
17. A study on stochastic degradation process models under different types of failure thresholds10.1016/j.ress.2018.10.002 ↗
18. Covariates and random effects in a gamma process model with application to degradation and failure10.1023/B:LIDA.0000036389.14073.dd ↗
19. The inverse Gaussian process as a degradation model10.1080/00401706.2013.830074 ↗
20. Remaining useful life estimation in prognostics using deep convolution neural networks10.1016/j.ress.2017.11.021 ↗
21. Remaining useful life prediction based on a multi-sensor data fusion model10.1016/j.ress.2020.107249 ↗
22. Data-model interactive prognosis for multi-sensor monitored stochastic degrading devices10.1016/j.ymssp.2021.108526 ↗
23. A Model-Based Method for Remaining Useful Life Prediction of Machinery10.1109/TR.2016.2570568 ↗
24. A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures
25. A modified strain energy density exhaustion model for creep–fatigue life prediction10.1016/j.ijfatigue.2016.03.005 ↗
26. Cycle-dependent creep-fatigue deformation and life predictions in a nickel-based superalloy at elevated temperature10.1016/j.ijmecsci.2021.106628 ↗
27. Effects of Stress Level and Stress State on Creep Ductility: Evaluation of Different Models10.1016/j.jmst.2016.02.014 ↗
28. Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks10.1016/j.ijmecsci.2018.04.050 ↗
29. Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty10.1016/j.ress.2015.10.002 ↗
30. Mean stress effect correction in strain energy-based fatigue life prediction of metals10.1177/1056789516651920 ↗
31. C. Ramirez, M.S. Haque, C.M. Stewart, Guidelines to the Assessment of Creep Rupture Reliability for 316SS Using the Larson-Miller Time-Temperature Parameter Model, in: Pressure Vessels and Piping Conference, American Society of Mechanical Engineers, 2017, pp. V06AT06A068.10.1115/PVP2017-65816 ↗
32. An online monitoring method for creep-fatigue life consumption with real-time damage accumulation10.1177/1056789520954255 ↗
33. Sequential law in multiaxial fatigue, a new damage indicator10.1016/j.ijfatigue.2004.08.005 ↗
34. Fatigue life prediction under variable loading based on a new damage model10.1016/j.matdes.2010.06.010 ↗
35. The energy density exhaustion method for assessing the creep-fatigue lives of specimens and components10.3184/096034013X13757890932442 ↗
36. An integrated reliability approach with improved importance sampling for low-cycle fatigue damage prediction of turbine disks10.1016/j.ress.2020.106819 ↗
37. Fatigue reliability assessment of turbine discs under multi-source uncertainties10.1111/ffe.12772 ↗
38. Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model10.1016/j.ast.2020.105957 ↗
39. Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks10.1016/j.ijfatigue.2022.106812 ↗
40. Dynamic surrogate modeling approach for probabilistic creep-fatigue life evaluation of turbine disks10.1016/j.ast.2019.105439 ↗
41. 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 ↗
42. Gray Correlation
43. Principal component analysis and polynomial chaos expansion for time-variant reliability problems10.1016/j.ress.2017.06.024 ↗
44. On the use of copulas in hydrology: theory and practice10.1061/(ASCE)1084-0699(2007)12:4(369) ↗
45. Bivariate analysis of incomplete degradation observations based on inverse Gaussian processes and copulas10.1109/TR.2015.2513038 ↗
46. Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective10.1016/j.ress.2016.04.005 ↗
47. T. Topper, R. Wetzel, J. Morrow, Neuber's rule applied to fatigue of notched specimens, in, Illinois univ at Urbana dept of theoretical and applied mechanics, 1967.10.21236/AD0659550 ↗
48. Stress-strain function for the fatigue of metals
49. Box · 2011
50. A Bayesian statistical method for quantifying model form uncertainty and two model combination methods10.1016/j.ress.2014.04.023 ↗
51. Bayesian model averaging for linear regression models10.1080/01621459.1997.10473615 ↗
52. The generalization of Latin hypercube sampling10.1016/j.ress.2015.12.002 ↗
53. Structural reliability assessment through surrogate based importance sampling with dimension reduction10.1016/j.ress.2020.107289 ↗
54. W. Ramberg, W.R. Osgood, Description of stress-strain curves by three parameters, in, 1943.
55. Cumulative damage models and multi-stress fatigue life prediction10.1177/002199838602000202 ↗
56. Multilevel approach to lifetime assessment of steam turbines10.1016/j.ijfatigue.2014.10.009 ↗
57. Palmgren–Miner’s rule and fracture mechanics-based inspection planning10.1016/j.engfracmech.2011.08.002 ↗
58. Lifetime of structures subjected to varying load and temperature
59. S. Manson, G. Halford, R. Oldrieve, Relation of cyclic loading pattern to microstructural fracture in creep fatigue, in: Fatigue 84 The 2nd Intern. Conf. on Fatigue and Fatigue Thresholds, 1983.
60. The effect of mean stress on the high-temperature fatigue behaviour of SAE 1045 steel10.1016/S0921-5093(97)00223-2 ↗
61. A modification of Morrow and Smith–Watson–Topper mean stress correction models10.1111/j.1460-2695.2011.01577.x ↗
62. Hosford · 2010
63. Nelsen · 2007
64. Copula-based reliability analysis of degrading systems with dependent failures10.1016/j.ress.2019.106618 ↗
65. Robert · 2010
66. Zone-based reliability analysis on fatigue life of GH720Li turbine disk concerning uncertainty quantification10.1016/j.ast.2017.08.011 ↗
67. Reliability assessment for system-level turbine disc structure using LRPIM-based surrogate model considering multi-failure modes correlation10.1016/j.ast.2019.105422 ↗
68. L. Moroz, G. Doerksen, F. Romero, R. Kochurov, B. Frolov, Integrated approach for steam turbine thermo-structural analysis and lifetime prediction at transient operations, in: Turbo Expo: Power for Land, Sea, and Air, American Society of Mechanical Engineers, 2017, pp. V008T029A012.10.1115/GT2017-63547 ↗
69. L. Moroz, B. Frolov, R. Kochurov, Steam turbine rotor transient thermo-structural analysis and lifetime prediction, in: Turbo Expo: Power for Land, Sea, and Air, American Society of Mechanical Engineers, 2016, pp. V008T026A038.10.1115/GT2016-57652 ↗
70. Research on low temperature brittleness of 30Cr1Mo1V high-temperature rotor and its life optimization in rapid start-up and warm-up process10.1016/j.ijpvp.2021.104521 ↗
71. Boiler · 1996
72. Code · 2007 · vol. Z