A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect
文献类型：期刊论文
| 作者 | Gao, Tongzhou; Ji, Chenhao; Zhan, Zhixin; Huang, Yingying; Liu CQ(刘传奇); Hu, Weiping; Meng, Qingchun |
| 刊名 | INTERNATIONAL JOURNAL OF FATIGUE
 |
| 出版日期 | 2023-05 |
| 卷号 | 170页码:107538 |
| 关键词 | High cycle fatigue Casting alloys Surface defect Damage model Optimized neural network |
| ISSN号 | 0142-1123 |
| DOI | 10.1016/j.ijfatigue.2023.107538 |
| 英文摘要 | A novel defect based fatigue damage model coupled with an optimized neural network is proposed for high cycle fatigue prediction. Based on parametric studies and continuum damage mechanics, the defect based fatigue damage evolution equation is derived, and the numerical simulation and fatigue damage computation are then implemented and validated. After that, more computations are performed to acquire a batch of reliable fatigue data, and the database is obtained. Finally, the architecture of the optimized neural network is established, and the predicted results are verified by experimental fatigue data. The proposed methodology works well for the fatigue analysis of casting alloys with surface defect. |
| 分类号 | 一类 |
| WOS研究方向 | Engineering, Mechanical ; Materials Science, Multidisciplinary |
| 语种 | 英语 |
| WOS记录号 | WOS:000927438000001 |
| 资助机构 | National Natural Science Foundation of China [12172368, 12002011] ; Fundamental Research Funds for the Central Universities ; Opening fund of State Key Laboratory of Nonlinear Mechanics ; One Hundred Talents Program of the Chinese Academy of Sciences |
| 其他责任者 | Zhan, ZX (corresponding author), Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China. |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/91824]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100090, Peoples R China 2.Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Tongzhou,Ji, Chenhao,Zhan, Zhixin,et al. A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect[J]. INTERNATIONAL JOURNAL OF FATIGUE,2023,170:107538. |
| APA | Gao, Tongzhou.,Ji, Chenhao.,Zhan, Zhixin.,Huang, Yingying.,刘传奇.,...&Meng, Qingchun.(2023).A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect.INTERNATIONAL JOURNAL OF FATIGUE,170,107538. |
| MLA | Gao, Tongzhou,et al."A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect".INTERNATIONAL JOURNAL OF FATIGUE 170(2023):107538. |
入库方式： OAI收割
来源：力学研究所
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