Descriptor extraction on inherent creep strength of carbon steel by exhaustive search. Issue 1 (1st January 2021)
- Record Type:
- Journal Article
- Title:
- Descriptor extraction on inherent creep strength of carbon steel by exhaustive search. Issue 1 (1st January 2021)
- Main Title:
- Descriptor extraction on inherent creep strength of carbon steel by exhaustive search
- Authors:
- Sakurai, Junya
Demura, Masahiko
Mototake, Yoh-ichi
Okada, Masato
Yamazaki, Masayoshi
Inoue, Junya - Abstract:
- ABSTRACT: The alloying elements that control the creep rupture life of low carbon steel in the region of inherent creep strength were investigated by a data-driven model selection method. The experimental data published in NRIM Creep Data Sheet No. 7B was used. A model in which the Larson–Miller parameter is expressed as a linear sum of the logarithmic stress and the chemical composition of alloying elements was proposed on the basis of the analysis of the experimental data. There were 1023 ( = 2 10 − 1 ) candidate models containing one or more of the 10 alloying elements, and they were compared using two model selection methods: 10-fold cross validation (CV) and posterior probability based on Bayesian inference. The 10-fold CV suggested that Mo must be included in the model to improve the predictivity of the unknown data. A comparison among the Bayesian posterior probabilities of the candidate models showed that the Mo-only model has a predominantly high posterior probability of 79.76% compared with the other models. Furthermore, other element terms that co-occur with Mo evenly appeared in the top list after the Mo-only model, indicating that only Mo is crucial for increasing the posterior probability. From these results, it is concluded that the Mo-only model is the most appropriate as a data generation model. The selected Mo-only model was confirmed to have high predictivity of the creep life. Graphical abstract: uf0001
- Is Part Of:
- Science and Technology of Advanced Materials: Methods. Volume 1:Issue 1(2021)
- Journal:
- Science and Technology of Advanced Materials: Methods
- Issue:
- Volume 1:Issue 1(2021)
- Issue Display:
- Volume 1, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2021-0001-0001-0000
- Page Start:
- 98
- Page End:
- 108
- Publication Date:
- 2021-01-01
- Subjects:
- Creep rupture -- inherent creep strength -- carbon steel -- larson–miller parameter -- Bayesian inference -- exhaustive search -- model selection -- linear regression
Materials data analysis - DOI:
- 10.1080/27660400.2021.1951505 ↗
- Languages:
- English
- ISSNs:
- 2766-0400
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 26243.xml