Machine-learning analysis on creep rupture data

Published: 31 August 2022| Version 1 | DOI: 10.17632/9cp4zxb9kz.1
Contributor:
Kaoru Nakamura

Description

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

License