数据驱动的高温结构强度与寿命评估：进展与挑战

The paper aims to analyze the current application status，development trends，and existing problems and challenges of data-driven methodologies and investigation paradigms in high-temperature structural strength and life assessment. In particular，it emphasizes on data processing and quantitative identification of images，the prediction of material/structure life under the coupling effect of multiple factors and the constitutive modeling method for microstructure evolution of high-temperature structures in service. It summarizes four typical application modes of data-driven methods，namely，the complete replacement of existing theoretical methods，the improvement of coupling-driven existing methods，the exploitation of potential regularities between variables and the quantification of qualitative understanding. Lastly，it points out the current shortcomings of data-driven methods，including weak generalization ability，poor extrapolation ability and weak correlation with physical mechanisms. Furthermore，the potential directions for future research are explored with a view of promoting the cross-application of data-driven new paradigms in the field of high-temperature structural integrity.