A data-mechanism driven method for progressive analysis of fatigue damage in composites
With the wide application of fibre-reinforced composites in aerospace, the fatigue problem of composites is becoming more prominent. In order to achieve efficient and accurate fatigue damage analysis, a data-mechanism driven method for the progressive analysis of fatigue damage in composites is prop...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Advances in Aeronautical Science and Engineering
2023-10-01
|
| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2023101 |
| _version_ | 1797630936275222528 |
|---|---|
| author | LI Qian TAO Chongcong ZHANG Chao JI Hongli QIU Jinhao |
| author_facet | LI Qian TAO Chongcong ZHANG Chao JI Hongli QIU Jinhao |
| author_sort | LI Qian |
| collection | DOAJ |
| description | With the wide application of fibre-reinforced composites in aerospace, the fatigue problem of composites is becoming more prominent. In order to achieve efficient and accurate fatigue damage analysis, a data-mechanism driven method for the progressive analysis of fatigue damage in composites is proposed, in which a single-hiddenlayer neural network as its fatigue constitutive law for simulations of fatigue delamination under cyclic loading. The Paris-law-informed regulation is used to achieve data-mechanism fusion for neural network model training. The ability to analyze fatigue delamination is validated in the full range of mode-Ⅰ and mode-Ⅱ as well as mixed modes of different mode ratios using double cantilever beam (DCB) and 4-point end flexure (4ENF). The applicability of the cohesive model in the case of complex fatigue delamination front is verified by using the reinforced double cantilever beam (R-DCB) model. The results show that the data-mechanism driven fatigue damage progressive analysis method for composites could rapidly and effectively simulate the composite delamination propagation with high fidelity, which can provide a new idea and method for composite structure design and safety assurance. |
| first_indexed | 2024-03-11T11:14:52Z |
| format | Article |
| id | doaj.art-dc1cb2ea946b4676834c56a4d9dce8d3 |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-03-11T11:14:52Z |
| publishDate | 2023-10-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-dc1cb2ea946b4676834c56a4d9dce8d32023-11-11T07:04:32ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902023-10-01145445310.16615/j.cnki.1674-8190.2023.05.0620230506A data-mechanism driven method for progressive analysis of fatigue damage in compositesLI Qian0TAO Chongcong1ZHANG Chao2JI Hongli3QIU Jinhao4State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaWith the wide application of fibre-reinforced composites in aerospace, the fatigue problem of composites is becoming more prominent. In order to achieve efficient and accurate fatigue damage analysis, a data-mechanism driven method for the progressive analysis of fatigue damage in composites is proposed, in which a single-hiddenlayer neural network as its fatigue constitutive law for simulations of fatigue delamination under cyclic loading. The Paris-law-informed regulation is used to achieve data-mechanism fusion for neural network model training. The ability to analyze fatigue delamination is validated in the full range of mode-Ⅰ and mode-Ⅱ as well as mixed modes of different mode ratios using double cantilever beam (DCB) and 4-point end flexure (4ENF). The applicability of the cohesive model in the case of complex fatigue delamination front is verified by using the reinforced double cantilever beam (R-DCB) model. The results show that the data-mechanism driven fatigue damage progressive analysis method for composites could rapidly and effectively simulate the composite delamination propagation with high fidelity, which can provide a new idea and method for composite structure design and safety assurance.http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2023101cohesive modelneural networkcompositesfatiguefinite element |
| spellingShingle | LI Qian TAO Chongcong ZHANG Chao JI Hongli QIU Jinhao A data-mechanism driven method for progressive analysis of fatigue damage in composites Hangkong gongcheng jinzhan cohesive model neural network composites fatigue finite element |
| title | A data-mechanism driven method for progressive analysis of fatigue damage in composites |
| title_full | A data-mechanism driven method for progressive analysis of fatigue damage in composites |
| title_fullStr | A data-mechanism driven method for progressive analysis of fatigue damage in composites |
| title_full_unstemmed | A data-mechanism driven method for progressive analysis of fatigue damage in composites |
| title_short | A data-mechanism driven method for progressive analysis of fatigue damage in composites |
| title_sort | data mechanism driven method for progressive analysis of fatigue damage in composites |
| topic | cohesive model neural network composites fatigue finite element |
| url | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2023101 |
| work_keys_str_mv | AT liqian adatamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT taochongcong adatamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT zhangchao adatamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT jihongli adatamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT qiujinhao adatamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT liqian datamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT taochongcong datamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT zhangchao datamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT jihongli datamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites AT qiujinhao datamechanismdrivenmethodforprogressiveanalysisoffatiguedamageincomposites |