A novel fatigue design modeling method under small-sample test data with generalized fiducial theory
文献类型：期刊论文
| 作者 | Zou, Qingrong; Wen JC(温济慈)
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| 刊名 | APPLIED MATHEMATICAL MODELLING
 |
| 出版日期 | 2024-04 |
| 卷号 | 128 |
| 关键词 | Fatigue life Fiducial inference Small sample Fatigue design S-N curves |
| ISSN号 | 0307-904X |
| DOI | 10.1016/j.apm.2024.01.019 |
| 英文摘要 | Understanding the correlation between the fatigue life of engineering materials and the applied stress is a crucial aspect of reliability and safety design. However, small data observations frequently occur in fatigue testing due to factors like time and budget limitations, as well as constraints related to the availability of testing materials and resources. In this article, fiducial inference method is employed for modeling P-S-N curves to deal with scenarios with small sample sizes. Fiducial inference can be seen as a procedure that provides a measure within a parameter space while requiring fewer assumptions than Bayesian inference (no prior). The performance of the proposed method is evaluated by comparing it with the ISO method using statistical simulation data and aluminum alloy 2524-T3 data. In scenarios with ample data (no less than 15 observations at each of the four stress levels), the proposed fiducial-based method yields results comparable to those obtained through the ISO method. When dealing with small-sample data (around 2-4 observations for each of the four stress levels) and medium-sample data (about 5-10 observations per stress level), the proposed fiducial-based method consistently outperforms the ISO method in terms of the quantile scores (also known as pinball loss). This shows the advantageous performance of the fiducial method under conditions of limited data availability. Besides, the consistency in performance across varying data size scenarios underscores the reliability and robustness of the fiducial-based approach in estimating probabilistic S-N curves. |
| 分类号 | 一类 |
| WOS研究方向 | Engineering ; Mathematics ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:001173948200001 |
| 资助机构 | Science Challenge Project {TZ2018002] ; R & D Program of Beijing Municipal Education Commission {KM202311232008] ; Young Elite Scientists Sponsorship Program by the Chinese Society of Theoretical and Applied Mechanics {CSTAM2022-XSC-QN4] |
| 其他责任者 | Wen JC |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/97195]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 作者单位 | 1.【Zou, Qingrong】 Beijing Informat Sci & Technol Univ, Sch Appl Sci, Beijing, Peoples R China 2.【Wen, Jici】 Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 3.【Wen, Jici】 Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zou, Qingrong,Wen JC. A novel fatigue design modeling method under small-sample test data with generalized fiducial theory[J]. APPLIED MATHEMATICAL MODELLING,2024,128. |
| APA | Zou, Qingrong,&温济慈.(2024).A novel fatigue design modeling method under small-sample test data with generalized fiducial theory.APPLIED MATHEMATICAL MODELLING,128. |
| MLA | Zou, Qingrong,et al."A novel fatigue design modeling method under small-sample test data with generalized fiducial theory".APPLIED MATHEMATICAL MODELLING 128(2024). |
入库方式： OAI收割
来源：力学研究所
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