Fatigue Life Prediction of 2024-T3 Al Alloy by Integrating Particle Swarm Optimization-Extreme Gradient Boosting and Physical Model.

IF 3.1 3区材料科学 Q3 CHEMISTRY, PHYSICAL

Materials Pub Date : 2024-10-31 DOI:10.3390/ma17215332

Zhaoji Li, Haitao Yue, Ce Zhang, Weibing Dai, Chenguang Guo, Qiang Li, Jianzhuo Zhang

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引用次数: 0

Abstract

The multi-parameter characteristics of the physical model pose a challenge to the fatigue life prediction of 2024-T3 aluminum (Al) alloy. In response to this issue, a parameter-solving method that integrates particle swarm optimization (PSO) with extreme gradient boosting (XGBoost) is proposed in this study. The fatigue performance and failure mechanism of the 2024-T3 Al alloy are analyzed. Furthermore, the fatigue life prediction physical model of the 2024-T3 Al alloy is established by using the energy method of fracture mechanics. The physical model incorporates critical physical parameters. Meanwhile, the PSO algorithm optimizes the hyperparameters of the XGBoost model based on fatigue data of the 2024-T3 Al alloy. Eventually, the optimized XGBoost model is used to solve the parameters of the physical model. Furthermore, the analytical equation of the fatigue life prediction model is obtained. This paper provides a new method for solving the parameters of the fatigue life prediction model, which reduces the error and cost of obtaining the model parameters in the experiment and shortens the time required.

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通过整合粒子群优化-极梯度提升和物理模型预测 2024-T3 Al 合金的疲劳寿命

物理模型的多参数特性给 2024-T3 铝合金的疲劳寿命预测带来了挑战。针对这一问题，本研究提出了一种将粒子群优化（PSO）与极端梯度提升（XGBoost）相结合的参数求解方法。分析了 2024-T3 Al 合金的疲劳性能和失效机理。此外，还利用断裂力学的能量法建立了 2024-T3 Al 合金的疲劳寿命预测物理模型。该物理模型包含关键的物理参数。同时，PSO 算法根据 2024-T3 Al 合金的疲劳数据优化 XGBoost 模型的超参数。最终，优化后的 XGBoost 模型用于求解物理模型的参数。此外，还得到了疲劳寿命预测模型的解析方程。本文提供了一种新的疲劳寿命预测模型参数求解方法，减少了在实验中获取模型参数的误差和成本，缩短了所需时间。

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来源期刊

Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

5.80

自引率

14.70%

发文量

7753

审稿时长

1.2 months

期刊介绍： Materials (ISSN 1996-1944) is an open access journal of related scientific research and technology development. It publishes reviews, regular research papers (articles) and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Materials provides a forum for publishing papers which advance the in-depth understanding of the relationship between the structure, the properties or the functions of all kinds of materials. Chemical syntheses, chemical structures and mechanical, chemical, electronic, magnetic and optical properties and various applications will be considered.