Physics-informed transfer learning model for fatigue life prediction of IN718 alloy

doi:10.1016/j.jmrt.2024.08.075

IMR OpenIR

	Physics-informed transfer learning model for fatigue life prediction of IN718 alloy
	Chen, Baihan 1,2; Zhang, Jianfeng 1; Zhou, Shangcheng 1; Zhang, Guangping 3; Xu, Fang 1
通讯作者	Zhang, Jianfeng(jianfengzh@126.com)
	2024-09-01
发表期刊	JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
ISSN	2238-7854
卷号	32 页码:2767-2779
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.
关键词	Fatigue life prediction Transfer learning Physical information Hybrid models
资助者	National Natural Science Foundation of China ; Phosphor Project of Shanghai Science and Technology
DOI	10.1016/j.jmrt.2024.08.075
收录类别	SCI
语种	英语
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
WOS类目	Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS记录号	WOS:001301748200001
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/189320
专题	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.