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

作者：Hirokawa Shogo; Taguchi Shigeki; Matsushita Yasuhiro; Adachi Yoshitaka^*

来源：Journal of the Iron and Steel Institute of Japan, 2017, 103(8): 468-474.

DOI：10.2355/tetsutohagane.TETSU-2017-003

• sensitive analysis
• data transformation
• variable selection
• genetic algorism
• bayesian inference
• sparse modelling
• descriptor screening
• materials genome
• DP steel
• stress-strain curve

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.

• 出版日期2017