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蠕变断裂寿命预测方法研究进展
Research Progress on Prediction Methods of Creep Fracture Life
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- DOI:
- 作者:
- 周长璐，廖玮杰，唐 斌，樊江昆，张平祥，袁睿豪
ZHOU Changlu, LIAO Weijie, TANG Bin, FAN Jiangkun, ZHANG Pingxiang, YUAN Ruihao
- 作者单位:
- 西北工业大学 凝固技术国家重点实验室
State Key Laboratory of Solidification Processing, Northwestern Polytechnical University
- 关键词:
- 金属结构材料;蠕变;机器学习;寿命预测;
metallic structural material; creep; machine learning; life prediction
- 摘要:
- 蠕变断裂指材料在恒定应力下连续变形，直至断裂失效，是合金中常见的高温机械故障之一。蠕变寿命决定了材料的有效服役时间，预测材料的蠕变寿命至关重要。综述了蠕变断裂寿命的预测方法，包括传统的基于理论计算、利用声发射技术，以及最近采用的信息学工具，如机器学习方法，并讨论了上述方法的优势和存在的问题。针对可能存在的问题，从数据科学的角度出发，展望了可用于蠕变寿命预测的新方法和新技术。
Creep fracture refers to the continuous deformation of materials under constant stress until fracture failure, which
is one of the common high-temperature mechanical faults in alloys. The creep life determines the effective service time of
materials, and it is very important to predict the creep life of materials. In this paper, the methods for predicting creep
fracture life, including traditional theoretical calculations, using acoustic emission techniques, and more recently using
informatics tools such as machine learning methods are reviewed. The advantages and problems of these methods are also
discussed. Aiming at the possible problems, the new methods and techniques for creep life prediction are prospected from
the point of view of data science.