Research Progress on Prediction Methods of Creep Fracture Life

Author of the article:ZHOU Changlu, LIAO Weijie, TANG Bin, FAN Jiangkun, ZHANG Pingxiang, YUAN Ruihao

Author's Workplace：State Key Laboratory of Solidification Processing, Northwestern Polytechnical University

Key Words：metallic structural material; creep; machine learning; life prediction

Abstract：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.