Fatigue database of high entropy alloys

Fatigue failure of metallic structures is of great concern to industrial applications. A material will not be able to practically useful if it is prone to fatigue failure. To take the advantage of lately emerged high entropy alloys (HEAs) for designing novel fatigue-resistant alloys, we compiled a fatigue database of HEAs from the literature reported till the yearend of 2021. The database is subdivided into three categories, i.e., low-cycle fatigue (LCF), high-cycle fatigue (HCF), and fatigue crack growth rate (FCGR), which contains 15, 23, and 28 distinct data records, respectively. Each data record in any of three categories is characteristic of a summary, which is comprised of alloy composition, key fatigue properties, and additional information influential to or interrelated with fatigue (e.g., material processing history, phase constitution, grain size, uniaxial tensile properties, and fatigue testing conditions), and an individual dataset, which makes up the original fatigue testing curve.

金属结构的疲劳失效始终是工业应用领域广受关注的重要问题。若材料易发生疲劳失效，则其实际应用价值将大幅降低。为依托近年新兴的高熵合金（High Entropy Alloys, HEAs）研发新型抗疲劳合金，我们收集了截至2021年末公开文献中记载的高熵合金疲劳数据，构建了本疲劳数据库。该数据库分为三大类别，即低周疲劳（Low-cycle Fatigue, LCF）、高周疲劳（High-cycle Fatigue, HCF）以及疲劳裂纹扩展速率（Fatigue Crack Growth Rate, FCGR），三类数据分别包含15条、23条及28条独立数据记录。每一类别的每条数据记录均包含两项核心内容：一是数据摘要，涵盖合金成分、关键疲劳性能，以及对疲劳性能存在影响或与之相关的补充信息（例如材料加工历史、相组成、晶粒尺寸、单轴拉伸性能及疲劳测试条件等）；二是构成原始疲劳测试曲线的独立数据集。