Page 46 - 《爆炸与冲击》2026年第5期

第 46 卷 刘传志，等： 基于深度学习的亚稳态高熵合金高应变率冲击响应预测 第 5 期

微高估。总体而言，应力-应变行为被准确地捕获，进一步证实了卷积神经网络框架预测亚稳态高熵合金
冲击响应的准确性。

4 结 论

本研究提出了一个将晶体塑性与卷积神经网络耦合的计算框架，以实现对不同微观结构和载荷条
件下应力-应变曲线和相体积分数演变的可靠预测。通过系统地比较不同的优化器和学习率，确定了对
数据集表现出优异预测性能的最优卷积神经网络模型参数。最后，利用测试数据集验证了训练后的卷
积神经网络模型的稳健性，这为研究高应变率条件下亚稳态高熵合金的变形行为提供了宝贵的见解。
主要结论如下。
(1) 随机生成共 1 500 个不同的微结构，并将其纳入不同载荷条件下的晶体塑性有限元模型。将生
成的数据集划分为训练集、验证集和测试集，以支持卷积神经网络的训练。
(2) 所提出的计算框架将晶体塑性与卷积神经网络相结合，在预测高应变率下亚稳态高熵合金的力
学行为方面，与晶体塑性有限元模拟表现出高度一致性。这种一致性在测试集中同样得到了证实。
(3) 与晶体塑性有限元模拟相比，提出的基于卷积神经网络的框架显著提高了计算效率。基准测试
结果表明，计算时间从分钟级缩短至亚秒级，同时保持了较高的预测精度。

参考文献：
[1] GEORGE E P, CURTIN W A, TASAN C C. High entropy alloys: a focused review of mechanical properties and deformation
mechanisms [J]. Acta Materialia, 2020, 188: 435–474. DOI: 10.1016/j.actamat.2019.12.015.
[2] HE Z F, JIA N, WANG H W, et al. The effect of strain rate on mechanical properties and microstructure of a metastable
FeMnCoCr high entropy alloy [J]. Materials Science and Engineering: A, 2020, 776: 138982. DOI: 10.1016/j.msea.2020.
138982.
[3] ZHANG N B, ZHANG C X, LI B, et al. Impact response of metastable dual-phase high-entropy alloy Cr 10 Mn 30 Fe 50 Co 10 [J].
Journal of Alloys and Compounds, 2023, 965: 171341. DOI: 10.1016/j.jallcom.2023.171341.
[4] XU J, LIANG L, TONG W, et al. Role of strain rate in phase stability and deformation mechanism of non-equiatomic
Fe 38-x Mn 30 Co 15 Cr 15 Ni 2 Gd x high-entropy alloy [J]. Materials Characterization, 2022, 194: 112356. DOI: 10.1016/j.matchar.2022.
112356.
[5] WANG P, BU Y Q, LIU J B, et al. Atomic deformation mechanism and interface toughening in metastable high entropy
alloy [J]. Materials Today, 2020, 37: 64–73. DOI: 10.1016/j.mattod.2020.02.017.
[6] WANG K Y, CHENG Z J, LIU C Y, et al. Deformation behavior and strengthening mechanisms of high-entropy alloys under
high strain rate across wide temperature ranges [J]. International Journal of Plasticity, 2025, 189: 104321. DOI: 10.1016/j.
ijplas.2025.104321.
[7] WANG X, DE VECCHIS R R, LI C Y, et al. Design metastability in high-entropy alloys by tailoring unstable fault energies [J].
Science Advances, 2022, 8(36): eabo7333. DOI: 10.1126/sciadv.abo7333.
[8] WERNER K V, NAEEM M, NIESSEN F, et al. Experimental and computational assessment of the temperature dependency of
the stacking fault energy in face-centered cubic high-entropy alloys [J]. Acta Materialia, 2024, 278: 120271. DOI: 10.1016/j.
actamat.2024.120271.
[9] SONG H, KIM D G, KIM D W, et al. Effects of strain rate on room- and cryogenic-temperature compressive properties in
metastable V10Cr10Fe45Co35 high-entropy alloy [J]. Scientific Reports, 2019, 9(1): 6163. DOI: 10.1038/s41598-019-
42704-x.
[10] YANG J P, AN W, LIU C Z, et al. Strength-plasticity synergy of metastable Fe 40 Mn 40 Co 10 Cr 10 high entropy alloy at high strain
rate and cryogenic temperature [J]. Materials Science and Engineering: A, 2025, 941: 148635. DOI: 10.1016/j.msea.2025.
148635.
[11] XIE H, MA Z, ZHANG W, et al. Phase transition in shock compressed high-entropy alloy FeNiCrCoCu [J]. International

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