A Dataset of Fatigue Properties for Welded Joints

Welded joints are widely used across engineering applications, where fatigue failure critically affects structural reliability and service life. To address data fragmentation and inconsistency in fatigue-related studies, a structured fatigue performance database for welded joints was established. The database includes fatigue data types—such as stress–life (S–N) and strain–life (ε–N) data—and consolidates key information on material properties, processing techniques, welding parameters, and testing conditions. Data were systematically extracted from 1,666 peer-reviewed publications using natural language processing, image recognition, and table parsing. All data entries have been organized in a unified format and deployed on an open-access platform, thereby supporting online access and extended analytical applications. Data quality has been ensured through quantitative assessments of completeness and usability. This database not only facilitates the identification of fatigue behavior patterns in welded joints but also provides a reliable dataset for training and validating machine learning models. To promote data standardization and open sharing within the field, the processing workflow and associated tools were made openly accessible.

焊接接头广泛应用于各类工程领域，疲劳失效对结构可靠性与服役寿命具有关键影响。为解决疲劳相关研究中的数据碎片化与不一致问题，构建了结构化的焊接接头疲劳性能数据库。该数据库涵盖应力-寿命（S-N）、应变-寿命（ε-N）等疲劳数据类型，并整合了材料特性、加工工艺、焊接参数及试验条件等关键信息。通过自然语言处理（Natural Language Processing）、图像识别（Image Recognition）与表格解析（Table Parsing）技术，从1666篇同行评审文献中系统提取数据。所有数据条目均以统一格式整理，并部署于开放获取平台，支持在线访问与扩展分析应用。通过完整性与可用性的定量评估，确保了数据质量。该数据库不仅有助于揭示焊接接头的疲劳行为规律，还为机器学习模型的训练与验证提供了可靠数据集。为推动领域内的数据标准化与开放共享，数据处理流程及相关工具已开放获取。