Research on fatigue reliability assessment of engine cylinder head based on neural network
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OpenAlex topics: Fatigue and fracture mechanics · Mechanical Failure Analysis and Simulation · Material Properties and Failure Mechanisms
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References (71)
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1. Strategies to achieve a carbon neutral society: a review10.1007/s10311-022-01435-8 ↗
2. Superior light metals by texture engineering: Optimized aluminum and magnesium alloys for automotive applications10.1016/j.actamat.2012.10.044 ↗
3. High cycle fatigue life assessment of a heavy duty diesel engine cylinder head
4. Investigation into diesel engine cylinder head failure10.1016/j.engfailanal.2018.03.008 ↗
5. Reliability study for diesel engine cylinder head through fatigue failure analysis and structural optimization10.1016/j.engfailanal.2022.106768 ↗
6. Issues and commentary on mechanical reliability theories, methods and models10.3901/JME.2014.14.027 ↗
7. Fatigue assessment and reliability in automotive design
8. Integrated remanufacturing, maintenance and spares policies towards life extension of a multi-component system10.1016/j.ress.2021.107872 ↗
9. Fatigue reliability assessment of turbine discs under multi-source uncertainties10.1111/ffe.12772 ↗
10. Study on scatter in mechanical properties of cylinder head with complex structure characters10.1016/j.engfailanal.2022.106114 ↗
11. Mechanical Performance Analysis of Cast Al− Si Alloy Cylinder Head Using Small Specimens10.1002/adem.202101091 ↗
12. Computational study on microstructure-sensitive high cycle fatigue dispersivity
13. A probabilistic model for the entire HCF domain based on equivalent stress-Simulations and experiments10.1016/j.ijfatigue.2011.09.007 ↗
14. New light on first-and second-order reliability methods10.1016/0167-4730(87)90002-6 ↗
15. Reliability of structures by using probability and fatigue theories10.1007/s12206-008-0116-3 ↗
16. Reliability-based fatigue design of wind-turbine rotor blades10.1016/S0141-0296(98)00048-0 ↗
17. Response surface single loop reliability-based design optimization with higher-order reliability assessment10.1007/s00158-015-1386-x ↗
18. A closed-form second-order reliability method using noncentral chi-squared distributions10.1115/1.4027982 ↗
19. Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks10.1016/j.ijfatigue.2020.105912 ↗
20. Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks10.1016/j.ijmecsci.2018.04.050 ↗
21. Classification correction of polynomial response surface methods for accurate reliability estimation10.1016/j.strusafe.2019.101869 ↗
22. Fatigue reliability design for metal dual inline packages under random vibration based on response surface method10.1016/j.microrel.2019.113404 ↗
23. Fatigue reliability analysis for structures with hybrid uncertainties combining quadratic response surface and polynomial chaos expansion10.1016/j.ijfatigue.2020.106071 ↗
24. Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model10.1016/j.ast.2020.105957 ↗
25. 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 ↗
26. Uncertainty quantification of fatigue SN curves with sparse data using hierarchical Bayesian data augmentation10.1016/j.ijfatigue.2020.105511 ↗
27. Probabilistic fatigue life prediction model of natural rubber components based on the expanded sample data10.1016/j.ijfatigue.2022.107034 ↗
28. Huang, Structural fatigue reliability analysis based on active learning Kriging model10.1016/j.ijfatigue.2023.107639 ↗
29. Deep neural network-based multiagent synergism method of probabilistic HCF evaluation for aircraft compressor rotor10.1016/j.ijfatigue.2023.107510 ↗
30. Determination of ductile fracture properties of 16MND5 steels under varying constraint levels using machine learning methods10.1016/j.ijmecsci.2022.107331 ↗
31. A new cyclical generative adversarial network based data augmentation method for multiaxial fatigue life prediction10.1016/j.ijfatigue.2022.106996 ↗
32. Machine learning-based genetic feature identification and fatigue life prediction10.1111/ffe.13532 ↗
33. 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 ↗
34. Machine learning assisted probabilistic creep-fatigue damage assessment10.1016/j.ijfatigue.2021.106677 ↗
35. Fatigue modeling using neural networks: A comprehensive review10.1111/ffe.13640 ↗
36. A survey on evaluating the fatigue limit under multiaxial loading10.1016/j.ijfatigue.2010.08.001 ↗
37. A critical plane approach for life prediction of high cycle fatigue under multiaxial variable amplitude loading10.1016/S0142-1123(99)00118-8 ↗
38. A theory for fatigue failure under multiaxial stress-strain conditions10.1243/PIME_PROC_1973_187_161_02 ↗
39. A critical plane approach to multiaxial fatigue damage including out-of-phase loading10.1111/j.1460-2695.1988.tb01169.x ↗
40. Mechanism investigation on fatigue failure in threaded hole of the main bearing in high-strength diesel engine10.1016/j.engfailanal.2022.106921 ↗
41. Failure analysis and design improvements of steel piston for a high-power marine diesel engine10.1016/j.engfailanal.2022.106825 ↗
42. Using fatigue life prediction to increase reliability of automotive structures
43. The prediction of fatigue fracture under combined stresses at stress concentrations10.1299/jsme1958.4.443 ↗
44. Independence of the torsional fatigue limit upon a mean shear stress10.1016/S0142-1123(02)00174-3 ↗
45. Multiaxial high-cycle fatigue criterion and life prediction for metals10.1016/j.ijfatigue.2005.01.003 ↗
46. Cumulative fatigue damage and life prediction theories: a survey of the state of the art for homogeneous materials10.1016/S0142-1123(97)00081-9 ↗
47. Friction of threaded fasteners10.1016/j.triboint.2017.10.014 ↗
48. Novel formulation of bolt elastic interaction in gasketed joints10.1115/1.3151814 ↗
49. Simulation analysis on the failure mechanism of cylinder head based on test load spectra
50. Abnormal relation between tensile and fatigue strengths for a high-strength low-alloy steel10.1016/j.msea.2021.142418 ↗
51. General relation between tensile strength and fatigue strength of metallic materials10.1016/j.msea.2012.11.103 ↗
52. Haibach · 2003
53. Lee · 2005
54. A log-normal format for failure probability under LCF: Concept, validation and definition of design curve10.1016/j.ijfatigue.2015.08.027 ↗
55. Dissimilar-dimension interference model of fatigue reliability under uncertain cyclic load10.3901/JME.2008.01.001 ↗
56. Fatigue reliability for offshore structures10.1061/(ASCE)0733-9445(1984)110:10(2340) ↗
57. Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels10.1177/0954409713496772 ↗
58. Fatigue reliability analysis of a compressor disk based on probability cumulative damage criterion10.3390/ma13092182 ↗
59. Probabilistic fatigue life prediction method and modeling for complex structural parts
60. A priori error estimates for local reliability-based sensitivity analysis with Monte Carlo Simulation10.1016/j.ress.2021.107749 ↗
61. Reliability sensitivity analysis for rack-and-pinion steering linkages10.1115/1.4001901 ↗
62. A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis10.1016/j.ress.2017.09.008 ↗
63. Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems10.1016/S0951-8320(03)00058-9 ↗
64. On the prediction of fatigue life subjected to variable loading sequence10.1111/ffe.13526 ↗
65. Practical implementation of the double linear damage rule and damage curve approach for treating cumulative fatigue damage10.1007/BF00053519 ↗
66. A cumulative damage rule based on the knee point of the SN curve10.1115/1.3443383 ↗
67. Cumulative damage and life prediction models for high-cycle fatigue of metals: a review10.3390/met11020204 ↗
68. A novel nonparametric model for life assessment of high cycle fatigue under uniaxial variable amplitude loading using intrinsic damage dissipation10.1016/j.ijfatigue.2023.107651 ↗
69. Lemaitre · 1996
70. A continuous damage mechanics model for ductile fracture10.1115/1.3225775 ↗
71. Microscopic response of TRIP steels to prestrain during plastic deformation10.1016/S1006-706X(13)60160-0 ↗