A New Nonlinear Fatigue Cumulative Damage Model Based on Enhanced Whale Optimization Algorithm and Manson–Halford Model
ABSTRACT In the field of modern mechanical engineering, structures often endure multi‐level variable stress loading. The nonlinear fatigue cumulative damage process of these structures is highly complex due to the significant influence of loading sequences and interactions, which makes fatigue life...
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| Vydáno v: | Fatigue & fracture of engineering materials & structures Ročník 48; číslo 8; s. 3528 - 3544 |
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01.08.2025
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| Abstract | ABSTRACT
In the field of modern mechanical engineering, structures often endure multi‐level variable stress loading. The nonlinear fatigue cumulative damage process of these structures is highly complex due to the significant influence of loading sequences and interactions, which makes fatigue life prediction difficult. To accurately describe the impacts of these factors on fatigue damage, this paper proposes a nonlinear fatigue cumulative damage model (EWOA‐MH) based on the enhanced whale optimization algorithm (EWOA) and the Manson–Halford (M‐H) model. This model obtains weight factors through EWOA and incorporates them into the M‐H model. Verified by experimental data of multi‐level variable stress loading and calculated with a weighted method considering different materials' sample numbers, the prediction accuracy is increased by approximately 43%. Its application to the analysis of high‐speed train bogie frames effectively demonstrates the model's effectiveness. The research shows that the EWOA‐MH model performs outstandingly in fatigue life prediction and can effectively solve fatigue damage problems under multi‐level variable stress loading conditions. |
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| AbstractList | ABSTRACT
In the field of modern mechanical engineering, structures often endure multi‐level variable stress loading. The nonlinear fatigue cumulative damage process of these structures is highly complex due to the significant influence of loading sequences and interactions, which makes fatigue life prediction difficult. To accurately describe the impacts of these factors on fatigue damage, this paper proposes a nonlinear fatigue cumulative damage model (EWOA‐MH) based on the enhanced whale optimization algorithm (EWOA) and the Manson–Halford (M‐H) model. This model obtains weight factors through EWOA and incorporates them into the M‐H model. Verified by experimental data of multi‐level variable stress loading and calculated with a weighted method considering different materials' sample numbers, the prediction accuracy is increased by approximately 43%. Its application to the analysis of high‐speed train bogie frames effectively demonstrates the model's effectiveness. The research shows that the EWOA‐MH model performs outstandingly in fatigue life prediction and can effectively solve fatigue damage problems under multi‐level variable stress loading conditions. In the field of modern mechanical engineering, structures often endure multi‐level variable stress loading. The nonlinear fatigue cumulative damage process of these structures is highly complex due to the significant influence of loading sequences and interactions, which makes fatigue life prediction difficult. To accurately describe the impacts of these factors on fatigue damage, this paper proposes a nonlinear fatigue cumulative damage model (EWOA‐MH) based on the enhanced whale optimization algorithm (EWOA) and the Manson–Halford (M‐H) model. This model obtains weight factors through EWOA and incorporates them into the M‐H model. Verified by experimental data of multi‐level variable stress loading and calculated with a weighted method considering different materials' sample numbers, the prediction accuracy is increased by approximately 43%. Its application to the analysis of high‐speed train bogie frames effectively demonstrates the model's effectiveness. The research shows that the EWOA‐MH model performs outstandingly in fatigue life prediction and can effectively solve fatigue damage problems under multi‐level variable stress loading conditions. |
| Author | Dong, Qi Zhang, Zhiyang Li, Yonghua Tang, Yuhan Wang, Yuedong Guo, Tao |
| Author_xml | – sequence: 1 givenname: Yuhan surname: Tang fullname: Tang, Yuhan organization: Dalian Jiaotong University – sequence: 2 givenname: Yuedong orcidid: 0000-0003-4262-4930 surname: Wang fullname: Wang, Yuedong email: wydstar@163.com organization: Dalian Jiaotong University – sequence: 3 givenname: Qi surname: Dong fullname: Dong, Qi organization: Dalian Jiaotong University – sequence: 4 givenname: Yonghua surname: Li fullname: Li, Yonghua organization: Dalian Jiaotong University – sequence: 5 givenname: Tao orcidid: 0009-0003-3653-7379 surname: Guo fullname: Guo, Tao organization: CRRC Tangshan Co. Ltd – sequence: 6 givenname: Zhiyang surname: Zhang fullname: Zhang, Zhiyang organization: Dalian Jiaotong University |
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| Cites_doi | 10.1016/j.ijfatigue.2021.106393 10.1177/10567895221120286 10.1016/j.heliyon.2024.e36716 10.1177/10567895241245869 10.1016/j.compstruc.2014.03.007 10.1177/1056789515620910 10.1115/1.3443383 10.1007/s40194-023-01572-w 10.1016/j.advengsoft.2016.01.008 10.1016/j.ijfatigue.2021.106636 10.1016/j.proeng.2010.03.219 10.1016/S0141-0296(02)00055-X 10.1177/10567895221134956 10.1111/ffe.13246 10.1007/s42243-018-0157-5 10.1016/j.advengsoft.2013.12.007 10.1016/j.ijfatigue.2023.107661 10.1007/BF00053519 |
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| Notes | Funding The authors are grateful for the financial supports by the Science and Technology Research and Development Programme Project of China National Railway Administration Group (Grant No: 2022YJ322). ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| References | 2023; 32 2022; 156 2014; 139 2020; 39 2014; 69 2020; 37 2016; 95 2024; 10 2005 2006; 4 2024; 33 2018; 25 2020; 18 2014; 1 1976; 98 2018; 39 2023; 67 2023; 172 2002; 24 1954; 76 2021; 151 2018 1981; 17 2020; 43 2003; 1 2010; 2 2016; 25 2018; 38 e_1_2_10_23_1 e_1_2_10_24_1 Gao H. Y. (e_1_2_10_7_1) 2014; 1 Huang Y. (e_1_2_10_18_1) 2018; 39 e_1_2_10_22_1 Fang Q. Y. (e_1_2_10_28_1) 2006; 4 e_1_2_10_20_1 Marco S. (e_1_2_10_3_1) 1954; 76 e_1_2_10_2_1 e_1_2_10_4_1 Xu H. (e_1_2_10_21_1) 2020; 37 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_14_1 e_1_2_10_15_1 Hu M. M. (e_1_2_10_27_1) 2003; 1 e_1_2_10_9_1 e_1_2_10_13_1 e_1_2_10_10_1 e_1_2_10_11_1 e_1_2_10_30_1 Wang M. N. (e_1_2_10_19_1) 2018; 38 (e_1_2_10_29_1) 2005 Haghgouei H. (e_1_2_10_12_1) 2020; 39 Gao Y. H. (e_1_2_10_8_1) 2020; 18 e_1_2_10_25_1 e_1_2_10_26_1 |
| References_xml | – volume: 172 start-page: 107661 issue: 7 year: 2023 end-page: 107673 article-title: Fatigue Reliability Evaluation of Heavy‐Haul Locomotive Car Body Underframe Based on Measured Strain and Virtual Strain publication-title: International Journal of Fatigue – volume: 17 start-page: 169 issue: 2 year: 1981 end-page: 192 article-title: Practical Implementation of the Double Linear Rule and Damage Curve Approach for Treating Cumulative Fatigue Damage publication-title: International Journal of Fracture – volume: 18 start-page: 475 issue: 6 year: 2020 end-page: 480 article-title: A Class of Modified Manson–Halford Model Considering Load Interaction publication-title: Chinese Journal of Construction Machinery – year: 2005 – volume: 24 start-page: 1363 issue: 11 year: 2002 end-page: 1368 article-title: A Phenomenological Fatigue Damage Accumulation Rule Based on Hardness Increasing for the 2024‐T42 Aluminum publication-title: Engineering Structures – volume: 32 start-page: 185 issue: 2 year: 2023 end-page: 203 article-title: Combined High and Low Cycle Fatigue Life Prediction Model Based on Damage Curve Method Considering Load Sequence and Interaction publication-title: International Journal of Damage Mechanics – volume: 151 start-page: 106393 issue: 8 year: 2021 end-page: 106404 article-title: An Improved Manson–Halford Model for Multi‐Level Nonlinear Fatigue Life Prediction publication-title: International Journal of Fatigue – volume: 1 start-page: 60 year: 2003 end-page: 63 article-title: S‐N Curve Movement‐Based Life Analytical Model publication-title: Journal of Hehai University(Natural Sciences) – volume: 25 start-page: 672 issue: 5 year: 2016 end-page: 690 article-title: A New Approach to the Investigation of Load Interaction Effects and Its Application in Residual Fatigue Life Prediction publication-title: International Journal of Damage Mechanics – volume: 2 start-page: 2037 issue: 1 year: 2010 end-page: 2043 article-title: Fatigue Damage Accumulation in Aluminum 7050‐T7451 Alloy Subjected to Block Programs Loading Under Step‐Down Sequence publication-title: Procedia Engineering – volume: 76 start-page: 627 issue: 4 year: 1954 end-page: 632 article-title: A Concept of Fatigue Damage publication-title: Journal of Fluids Engineering – volume: 33 start-page: 774 issue: 10 year: 2024 end-page: 807 article-title: A Modified Manson–Halford Model Based on Improved WOA for Fatigue Life Prediction Under Multi‐Level Loading publication-title: International Journal of Damage Mechanics – volume: 139 start-page: 98 year: 2014 end-page: 112 article-title: Symbiotic Organism Search: A New Meta Heuristic Optimization Algorithm publication-title: Computers and Structures – year: 2018 – volume: 69 start-page: 46 year: 2014 end-page: 61 article-title: Grey Wolf Optimizer publication-title: Advances in Engineering Software – volume: 39 start-page: 2590 issue: 12 year: 2018 end-page: 2595 article-title: Simplified Mean Particle Swarm Optimization Algorithm With Dynamic Adjustment of Inertia Weight publication-title: Journal of Chinese Computer Systems – volume: 10 start-page: 36716 issue: 17 year: 2024 end-page: 36734 article-title: Residual Fatigue Life Prediction Based on a Novel Improved Manson–Halford Model Considering Loading Interaction Effect publication-title: Heliyon – volume: 43 start-page: 1880 issue: 8 year: 2020 end-page: 1892 article-title: A Fatigue Damage Accumulation Model for Reliability Analysis of Engine Components Under Combined Cycle Loadings publication-title: Fatigue and Fracture of Engineering Materials and Structures – volume: 95 start-page: 51 year: 2016 end-page: 67 article-title: The Whale Optimization Algorithm publication-title: Advances in Engineering Software – volume: 38 start-page: 16 issue: S2 year: 2018 end-page: 20+54 article-title: Improved Grey Wolf Optimization Algorithm Based on Iterative Mapping and Simplex Method publication-title: Journal of Computer Applications – volume: 98 start-page: 316 issue: 4 year: 1976 end-page: 321 article-title: A Cumulative Damage Rule Based on the Knee Point of the S‐N Curve publication-title: Engineering Materials and Technology – volume: 32 start-page: 340 issue: 3 year: 2023 end-page: 361 article-title: Estimation of Remaining Fatigue Life With an Energy‐Based Model Considering the Effects of Loading Sequence and Load Interaction publication-title: International Journal of Damage Mechanics – volume: 4 start-page: 582 year: 2006 end-page: 586 article-title: New Continuous Fatigue Damage Model Based on Whole Damage Field Measurement publication-title: Journal of Mechanical Strength – volume: 37 start-page: 3271 issue: 11 year: 2020 end-page: 3275 article-title: Whale Optimization Algorithm Based on Gauss Map and Small Hole Imaging Learning Strategy publication-title: Application Research of Computers – volume: 1 start-page: 164378 year: 2014 end-page: 164384 article-title: A Modified Nonlinear Damage Accumulation Model for Fatigue Life Prediction Considering Load Interaction Effects publication-title: Scientific World Journal – volume: 156 start-page: 106636 issue: 8 year: 2022 end-page: 106645 article-title: An Improved Fatigue Accumulation Damage Model Based on Load Interaction and Strength Degradation publication-title: International Journal of Fatigue – volume: 25 start-page: 1094 issue: 10 year: 2018 end-page: 1110 article-title: Corrected Stress Field Intensity Approach Based on Averaging Superior Limit of Intrinsic Damage Dissipation Work publication-title: Journal of Iron and Steel Research, International – volume: 39 start-page: 1 issue: 3 year: 2020 end-page: 12 article-title: Variable Amplitude Fatigue Life Prediction of Rock Samples Under Completely Reversed Loading publication-title: Geotechnical and Geological Engineering – volume: 67 start-page: 2333 issue: 10 year: 2023 end-page: 2344 article-title: Fatigue Life Prediction of Welded Joints Under Variable Stress Ratios Based on the Energy Dissipation Method publication-title: Welding in the World – ident: e_1_2_10_10_1 doi: 10.1016/j.ijfatigue.2021.106393 – ident: e_1_2_10_13_1 doi: 10.1177/10567895221120286 – volume: 1 start-page: 164378 year: 2014 ident: e_1_2_10_7_1 article-title: A Modified Nonlinear Damage Accumulation Model for Fatigue Life Prediction Considering Load Interaction Effects publication-title: Scientific World Journal – ident: e_1_2_10_22_1 doi: 10.1016/j.heliyon.2024.e36716 – ident: e_1_2_10_30_1 doi: 10.1177/10567895241245869 – ident: e_1_2_10_20_1 doi: 10.1016/j.compstruc.2014.03.007 – volume: 4 start-page: 582 year: 2006 ident: e_1_2_10_28_1 article-title: New Continuous Fatigue Damage Model Based on Whole Damage Field Measurement publication-title: Journal of Mechanical Strength – ident: e_1_2_10_15_1 doi: 10.1177/1056789515620910 – ident: e_1_2_10_24_1 doi: 10.1115/1.3443383 – ident: e_1_2_10_4_1 doi: 10.1007/s40194-023-01572-w – ident: e_1_2_10_16_1 doi: 10.1016/j.advengsoft.2016.01.008 – ident: e_1_2_10_14_1 doi: 10.1016/j.ijfatigue.2021.106636 – volume: 1 start-page: 60 year: 2003 ident: e_1_2_10_27_1 article-title: S‐N Curve Movement‐Based Life Analytical Model publication-title: Journal of Hehai University(Natural Sciences) – ident: e_1_2_10_25_1 doi: 10.1016/j.proeng.2010.03.219 – volume: 37 start-page: 3271 issue: 11 year: 2020 ident: e_1_2_10_21_1 article-title: Whale Optimization Algorithm Based on Gauss Map and Small Hole Imaging Learning Strategy publication-title: Application Research of Computers – ident: e_1_2_10_23_1 doi: 10.1016/S0141-0296(02)00055-X – ident: e_1_2_10_26_1 – ident: e_1_2_10_11_1 doi: 10.1177/10567895221134956 – ident: e_1_2_10_9_1 doi: 10.1111/ffe.13246 – ident: e_1_2_10_5_1 doi: 10.1007/s42243-018-0157-5 – volume: 39 start-page: 1 issue: 3 year: 2020 ident: e_1_2_10_12_1 article-title: Variable Amplitude Fatigue Life Prediction of Rock Samples Under Completely Reversed Loading publication-title: Geotechnical and Geological Engineering – volume-title: EN 13749. Railway Applications‐Methods of Specifying Structural Requirements of Bogie Frames year: 2005 ident: e_1_2_10_29_1 – volume: 39 start-page: 2590 issue: 12 year: 2018 ident: e_1_2_10_18_1 article-title: Simplified Mean Particle Swarm Optimization Algorithm With Dynamic Adjustment of Inertia Weight publication-title: Journal of Chinese Computer Systems – ident: e_1_2_10_17_1 doi: 10.1016/j.advengsoft.2013.12.007 – volume: 38 start-page: 16 issue: 2 year: 2018 ident: e_1_2_10_19_1 article-title: Improved Grey Wolf Optimization Algorithm Based on Iterative Mapping and Simplex Method publication-title: Journal of Computer Applications – ident: e_1_2_10_2_1 doi: 10.1016/j.ijfatigue.2023.107661 – volume: 76 start-page: 627 issue: 4 year: 1954 ident: e_1_2_10_3_1 article-title: A Concept of Fatigue Damage publication-title: Journal of Fluids Engineering – ident: e_1_2_10_6_1 doi: 10.1007/BF00053519 – volume: 18 start-page: 475 issue: 6 year: 2020 ident: e_1_2_10_8_1 article-title: A Class of Modified Manson–Halford Model Considering Load Interaction publication-title: Chinese Journal of Construction Machinery |
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In the field of modern mechanical engineering, structures often endure multi‐level variable stress loading. The nonlinear fatigue cumulative damage... In the field of modern mechanical engineering, structures often endure multi‐level variable stress loading. The nonlinear fatigue cumulative damage process of... |
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| SubjectTerms | Algorithms Cumulative damage Damage assessment enhanced whale optimization algorithm Fatigue failure Fatigue life fatigue life prediction Life prediction Manson–Halford model Mechanical engineering multi‐level variable stress loading nonlinear fatigue cumulative damage Optimization Optimization algorithms Undercarriages |
| Title | A New Nonlinear Fatigue Cumulative Damage Model Based on Enhanced Whale Optimization Algorithm and Manson–Halford Model |
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