Sparse Modelling to Screen Microstructural Factors Dominantly Controlling a Stress-strain Curve of DP Steels

Abstract

Screening important microstructure factors dominantly controlling a stress-strain curve of a dual phase steel was studied by three kinds of sparse modelling approach; Sensitive analysis, data transformation & variable selection, and Bayesian inference. In addition, an effect of data noise on descriptor screening in sparse modelling was also investigated.