Machine-learning analysis on creep rupture data
Published: 31 August 2022| Version 1 | DOI: 10.17632/9cp4zxb9kz.1
Contributor:
Kaoru NakamuraDescription
I will share the python code we used to analyze creep rupture time by machine learning. Creep rupture data can be obtained from the published NIMS creep data sheet (https://smds.nims.go.jp/creep/).
Files
Steps to reproduce
The logarithmic creep rupture times of various heat-resistant alloys are used as objective variables, and chemical composition, creep conditions, and Vickers hardness are used as explanatory variables, all of which are listed in the NIMS creep data sheet (https://smds.nims.go.jp/creep/). The accompanying python scripts provide examples of various machine-learning regression analyses for creep data.
Institutions
Denryoku Chuo Kenkyujo
Categories
Alloy, Creep