Physics-informed transfer learning model for fatigue life prediction of IN718 alloy
文献类型：期刊论文
| 作者 | Chen, Baihan1,2; Zhang, Jianfeng1; Zhou, Shangcheng1; Zhang, Guangping3; Xu, Fang1 |
| 刊名 | JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 32页码:2767-2779 |
| 关键词 | Fatigue life prediction Transfer learning Physical information Hybrid models |
| ISSN号 | 2238-7854 |
| DOI | 10.1016/j.jmrt.2024.08.075 |
| 通讯作者 | Zhang, Jianfeng(jianfengzh@126.com) |
| 英文摘要 | To address the challenges posed by inadequate data and data utilization in multiple scenarios of fatigue loading, a Physics-informed Transfer Learning (PITL) model has been developed to predict the fatigue life of IN718 superalloy. Strain-controlled low-cycle fatigue tests were carried out at 400 degrees C with three distinct strain ratios, which were subsequently segmented for individual transfer learning tests. PITL models with significant engineering value were built by integrating transfer learning methodologies rooted in TrAdaBoost with a physicsbased model that hinges on the principles of equivalent strain theory. The findings suggest that PITL models exhibit improved accuracy and greater robustness compared to both transfer learning and physics models. |
| 资助项目 | National Natural Science Foundation of China[52105163] ; Phosphor Project of Shanghai Science and Technology[22QB1406400] |
| WOS研究方向 | Materials Science ; Metallurgy & Metallurgical Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001301748200001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Phosphor Project of Shanghai Science and Technology |
| 源URL |  |
| 专题 | 金属研究所_中国科学院金属研究所 |
| 通讯作者 | Zhang, Jianfeng |
| 作者单位 | 1.AECC Commercial Aircraft Engine Co Ltd, Mat Engn Dept, Shanghai 201100, Peoples R China 2.Tsinghua Univ, Dept Engn Phys, 30 Shuangqing Rd, Beijing 100084, Peoples R China 3.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Baihan,Zhang, Jianfeng,Zhou, Shangcheng,et al. Physics-informed transfer learning model for fatigue life prediction of IN718 alloy[J]. JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,2024,32:2767-2779. |
| APA | Chen, Baihan,Zhang, Jianfeng,Zhou, Shangcheng,Zhang, Guangping,&Xu, Fang.(2024).Physics-informed transfer learning model for fatigue life prediction of IN718 alloy.JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,32,2767-2779. |
| MLA | Chen, Baihan,et al."Physics-informed transfer learning model for fatigue life prediction of IN718 alloy".JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T 32(2024):2767-2779. |
入库方式： OAI收割
来源：金属研究所
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