Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration
This paper proposes a novel method based on continuum damage mechanics (CDM) and machine learning (ML) models to evaluate the vibration fatigue behavior of W1-type railway fastener clips subjected to high-frequency vibration. Firstly, static and fatigue tests are conducted on 60Si2Mn spring steel to...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179382 |
| _version_ | 1826110606432796672 |
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| author | Dong, Yifei Zhan, Zhixin Sun, Linlin Hu, Weiping Meng, Qingchun Berto, Filippo Li, Hua |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Dong, Yifei Zhan, Zhixin Sun, Linlin Hu, Weiping Meng, Qingchun Berto, Filippo Li, Hua |
| author_sort | Dong, Yifei |
| collection | NTU |
| description | This paper proposes a novel method based on continuum damage mechanics (CDM) and machine learning (ML) models to evaluate the vibration fatigue behavior of W1-type railway fastener clips subjected to high-frequency vibration. Firstly, static and fatigue tests are conducted on 60Si2Mn spring steel to acquire elastic modulus, tensile strength, and P-S-N curves. Subsequently, a CDM model is established, and numerical simulations are performed under various working conditions to obtain the fatigue characteristics of the clips. Finally, the ML model is trained using numerical simulation results, thereby establishing a mapping model between the working conditions and fatigue characteristics. The developed ML model demonstrates high accuracy in predicting the vibration fatigue life of the clips. Moreover, the Shapley Additive Explanations (SHAP) algorithm is employed to elucidate the ML model, revealing that the vibration frequency has a greater impact on the fatigue life of the clips compared to the vibration displacement. |
| first_indexed | 2024-10-01T02:37:17Z |
| format | Journal Article |
| id | ntu-10356/179382 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:37:17Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1793822024-07-29T04:37:59Z Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration Dong, Yifei Zhan, Zhixin Sun, Linlin Hu, Weiping Meng, Qingchun Berto, Filippo Li, Hua School of Mechanical and Aerospace Engineering Engineering Continuum damage mechanics Fastener clips This paper proposes a novel method based on continuum damage mechanics (CDM) and machine learning (ML) models to evaluate the vibration fatigue behavior of W1-type railway fastener clips subjected to high-frequency vibration. Firstly, static and fatigue tests are conducted on 60Si2Mn spring steel to acquire elastic modulus, tensile strength, and P-S-N curves. Subsequently, a CDM model is established, and numerical simulations are performed under various working conditions to obtain the fatigue characteristics of the clips. Finally, the ML model is trained using numerical simulation results, thereby establishing a mapping model between the working conditions and fatigue characteristics. The developed ML model demonstrates high accuracy in predicting the vibration fatigue life of the clips. Moreover, the Shapley Additive Explanations (SHAP) algorithm is employed to elucidate the ML model, revealing that the vibration frequency has a greater impact on the fatigue life of the clips compared to the vibration displacement. The authors sincerely acknowledge the support from the National Natural Science Foundation of China (No. 12002011). Linlin Sun is supported by the scientific research project of China Academy of Railway Sciences Co., Ltd. (2021YJ069). 2024-07-29T04:37:59Z 2024-07-29T04:37:59Z 2024 Journal Article Dong, Y., Zhan, Z., Sun, L., Hu, W., Meng, Q., Berto, F. & Li, H. (2024). Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration. Fatigue and Fracture of Engineering Materials and Structures, 47(6), 2268-2284. https://dx.doi.org/10.1111/ffe.14304 8756-758X https://hdl.handle.net/10356/179382 10.1111/ffe.14304 2-s2.0-85189647452 6 47 2268 2284 en Fatigue and Fracture of Engineering Materials and Structures © 2024 John Wiley & Sons Ltd. All rights reserved. |
| spellingShingle | Engineering Continuum damage mechanics Fastener clips Dong, Yifei Zhan, Zhixin Sun, Linlin Hu, Weiping Meng, Qingchun Berto, Filippo Li, Hua Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration |
| title | Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration |
| title_full | Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration |
| title_fullStr | Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration |
| title_full_unstemmed | Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration |
| title_short | Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration |
| title_sort | development of a novel continuum damage mechanics based machine learning approach for vibration fatigue assessment of fastener clip subjected to high frequency vibration |
| topic | Engineering Continuum damage mechanics Fastener clips |
| url | https://hdl.handle.net/10356/179382 |
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