A unified fatigue reliability-based design optimization framework for aircraft turbine disk
Source abstract
Abstract
Abstract To improve the modeling efficiency and optimization accuracy for fatigue reliability-based design optimization (FRBDO) of aircraft turbine disk, a unified framework integrating by hierarchical fuzzy-neuro (HFN) surrogate method and multi-level collaboration (MLC) optimization model are presented. The HFN method is developed with absorbing fuzzy-neuro surrogate into hierarchical modeling strategy. The MLC model is proposed by considering influencing factors and constraint conditions in multiple layers and multiple cycles. The presented framework was applied to the FRBDO of a high-pressure turbine disk. The optimization results show that the presented framework holds high computational efficiency and accuracy in FRBDO of turbine disk.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Probabilistic and Robust Engineering Design · Turbomachinery Performance and Optimization · High Temperature Alloys and Creep
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (52)
Show source-provided references
1. Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations10.1177/1056789517737132 ↗
2. Multi-failure probabilistic design for turbine bladed disks using neural network regression with distributed collaborative strategy10.1016/j.ast.2019.06.026 ↗
3. Coordinated maritime design using sequential optimisation and reliability assessment
4. Development of a novel fatigue damage model with AM effects for life prediction of commonly-used alloys in aerospace10.1016/j.ijmecsci.2019.02.032 ↗
5. Strain energy gradient-based LCF life prediction of turbine discs using critical distance concept10.1016/j.ijfatigue.2018.04.006 ↗
6. Reliability assessment of measurement accuracy for FBG sensors used in structural tests of the wind turbine blades based on strain transfer laws10.1016/j.engfailanal.2020.104506 ↗
7. Probabilistic framework for fatigue life assessment of notched components under size effects10.1016/j.ijmecsci.2020.105685 ↗
8. Probabilistic low cycle fatigue life prediction using an energy-based damage parameter and accounting for model uncertainty10.1177/1056789511429836 ↗
9. Experiments and numerical simulations for the fatigue behavior of a novel TA2-TA15 titanium alloy fabricated by laser melting deposition10.1016/j.ijfatigue.2018.12.001 ↗
10. Probabilistic framework for fatigue life assessment of notched components under size effects
11. Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty10.1007/s00158-016-1462-x ↗
12. Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty10.1016/j.ress.2015.10.002 ↗
13. Bayesian framework for probabilistic low cycle fatigue life prediction and uncertainty modeling of aircraft turbine disk alloys10.1016/j.probengmech.2013.08.004 ↗
14. Probabilistic framework for multiaxial LCF assessment under material variability10.1016/j.ijfatigue.2017.06.019 ↗
15. Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network10.1016/j.ijfatigue.2020.105527 ↗
16. A probabilistic fatigue approach for riveted joints using Monte Carlo simulation10.1016/j.jcsr.2015.02.019 ↗
17. Probabilistic fatigue assessment of notched components under size effect using critical distance theory10.1016/j.engfracmech.2020.107150 ↗
18. Fatigue life calculation for TC4-TC11 titanium alloy specimens fabricated by laser melting deposition10.1016/j.tafmec.2018.04.009 ↗
19. Numerical study of fatigue damage under random loading using Rainflow cycle counting10.1108/IJSI-04-2020-0036 ↗
20. Evaluation of multiaxial high-cycle fatigue criteria under proportional loading for S355 steel10.1016/j.engfailanal.2020.105037 ↗
21. Three-dimensional Fatigue Crack Propagation Simulation Using Extended Finite Element Methods for Steel Grades S355 and S690 Considering Mean Stress Effects10.1016/j.engstruct.2020.111414 ↗
22. Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art
23. PSO-BP neural network-based strain prediction of wind turbine blades10.3390/ma12121889 ↗
24. Numerical study of fatigue damage under random loading using Rainflow cycle counting10.1108/IJSI-04-2020-0041 ↗
25. A generalization of the fatigue Kohout-Věchet model for several fatigue damage parameters10.1016/j.engfracmech.2017.06.009 ↗
26. Unified two-stage fatigue methodology based on a probabilistic damage model applied to structural details10.1016/j.tafmec.2017.09.004 ↗
27. Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks
28. A crystal plasticity-based approach for creep-fatigue life prediction and damage evaluation in a nickel-based superalloy10.1016/j.ijfatigue.2020.106031 ↗
29. Advanced simulation tools applied to materials development and design predictions10.3390/ma13010147 ↗
30. Reliability-based optimization for offshore structures using saddlepoint approximation
31. Uncertainty-based design and optimization using first order saddlepoint approximation method for multidisciplinary engineering systems10.1061/AJRUA6.0001076 ↗
32. PSO-LSSVR: A surrogate modeling approach for probabilistic flutter evaluation of compressor blade10.1016/j.istruc.2020.10.007 ↗
33. Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L10.1016/j.ijfatigue.2020.105941 ↗
34. Dynamic surrogate modeling approach for probabilistic creep-fatigue life evaluation of turbine disks10.1016/j.ast.2019.105439 ↗
35. Distributed collaborative modeling approach for probabilistic fatigue life evaluation of turbine rotor10.3390/ma13143239 ↗
36. AK-SYSi: an improved adaptive Kriging model for system reliability analysis with multiple failure modes by a refined U learning function10.1007/s00158-018-2067-3 ↗
37. Multi-surrogate collaboration approach for creep-fatigue reliability assessment of turbine rotor10.1109/ACCESS.2020.2975316 ↗
38. Dynamic neural network method-based improved PSO and BR algorithms for transient probabilistic analysis of flexible mechanism10.1016/j.aei.2017.05.005 ↗
39. A novel metamodeling approach for probabilistic LCF estimation of turbine disk10.1016/j.engfailanal.2020.105074 ↗
40. Multi-objective reliability-based design optimization approach of complex structure with multi-failure modes10.1016/j.ast.2017.01.018 ↗
41. Bayesian reliability analysis for fuzzy lifetime data10.1016/j.fss.2005.11.009 ↗
42. Stable fault-tolerant adaptive fuzzy/neural control for a turbine engine10.1109/87.918902 ↗
43. A unique neuro-fuzzy approach for improved prediction of tire reliability analysis with noisy life data10.1080/02533839.2014.999853 ↗
44. Differential evolution: a survey of the state-of-the-art10.1109/TEVC.2010.2059031 ↗
45. Constraint-handling in nature-inspired numerical optimization: past, present and future10.1016/j.swevo.2011.10.001 ↗
46. Guided Stochastic Gradient Descent Algorithm for inconsistent datasets10.1016/j.asoc.2018.09.038 ↗
47. Neural network control of nonlinear dynamic systems using hybrid algorithm10.1016/j.asoc.2014.07.023 ↗
48. Fatigue reliability estimation framework for turbine rotor using multi-agent collaborative modeling10.1016/j.istruc.2020.12.068 ↗
49. Distributed collaborative probabilistic design of multi-failure structure with fluid-structure interaction using fuzzy neural network of regression10.1016/j.ymssp.2017.09.039 ↗
50. Probabilistic LCF life assessment for turbine discs with DC strategy-based wavelet neural network regression10.1016/j.ijfatigue.2018.10.005 ↗
51. Multilevel nested reliability-based design optimization with hybrid intelligent regression for operating assembly relationship10.1016/j.ast.2020.105906 ↗
52. Ding · 1979