Damage mechanics coupled with a transfer learning approach for the fatigue life prediction of bronze/steel diffusion welded bimetallic material

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2024-10-02 DOI:10.1016/j.ijfatigue.2024.108631
Qianyu Xia , Chenhao Ji , Zhixin Zhan , Xiaojia Wang , Zhi Bian , Weiping Hu , Qingchun Meng
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Abstract

The bronze/steel diffusion welded (BSDW) bimetallic material is often applied in the rotors of piston pumps to withstand complex alternating loads under high-speed operating conditions. Although diffusion welding is a type of solid-phase welding method to achieve high-quality material connections, the fatigue problems still deserve our attention, especially the very high cycle fatigue (VHCF) and high cycle fatigue (HCF) problems. However, due to the high cost of obtaining data, it is necessary to find an efficient and high-precision fatigue life prediction method for diffusion welded materials with a small sample size. In this study, a novel method continuum damage mechanics − transfer learning method (CDM-TLM) for fatigue life prediction of BSDW material is proposed based on the transfer learning (TL) and continuum damage mechanics − finite element method (CDM-FEM). In comparison with the test results, the predicted values of BSDW material fatigue life all fall within the twice error band of the median values of the test life. The influence of frozen layers during TL and training samples in source and target models on the prediction performance is further discussed. CDM-TLM is an effective life prediction method for high-precision life prediction of BSDW material with a small sample size.
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损伤力学与迁移学习法结合用于青铜/钢扩散焊接双金属材料的疲劳寿命预测
青铜/钢扩散焊接(BSDW)双金属材料经常被应用于柱塞泵的转子中,以承受高速运转条件下复杂的交变载荷。虽然扩散焊接是一种实现高质量材料连接的固相焊接方法,但其疲劳问题仍然值得我们关注,尤其是极高循环疲劳(VHCF)和高循环疲劳(HCF)问题。然而,由于获取数据的成本较高,有必要为样本量较小的扩散焊接材料找到一种高效、高精度的疲劳寿命预测方法。本研究基于迁移学习法(TL)和连续损伤力学-有限元法(CDM-FEM),提出了一种用于 BSDW 材料疲劳寿命预测的新方法连续损伤力学-迁移学习法(CDM-TLM)。与测试结果相比,BSDW 材料的疲劳寿命预测值均在测试寿命中值的两倍误差范围内。进一步讨论了 TL 期间冻结层以及源模型和目标模型中训练样本对预测性能的影响。CDM-TLM 是一种有效的寿命预测方法,可用于小样本量 BSDW 材料的高精度寿命预测。
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
期刊介绍: Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.
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