Article Descriptor extraction on inherent creep strength of carbon steel by exhaustive search

Junya Sakurai ; Masahiko Demura SAMURAI ORCID (National Institute for Materials ScienceROR) ; Yoh-ichi Mototake ; Masato Okada (National Institute for Materials ScienceROR) ; Masayoshi Yamazaki ORCID (National Institute for Materials ScienceROR) ; Junya Inoue

Collection

Citation
Junya Sakurai, Masahiko Demura, Yoh-ichi Mototake, Masato Okada, Masayoshi Yamazaki, Junya Inoue. Descriptor extraction on inherent creep strength of carbon steel by exhaustive search. Science and Technology of Advanced Materials: Methods. 2021, 1 (1), 98-108.
SAMURAI

Alternative title: 全探索による炭素鋼の基底クリープ強度における記述子の抽出

Description:

(abstract)

炭素鋼の基底クリープ強度領域におけるクリープ寿命モデルを提案し、ベイズ統計によるモデル選択手法を適用することで、Moが単独で効果を有することを見出した。

Rights:

Keyword: Creep rupture, Inherent creep strength, Model selection, Bayesian inference, Exhaustive search, Carbon steel, Larson–miller parameter

Date published: 2021-01-01

Publisher: Informa UK Limited

Journal:

  • Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 1 issue. 1 p. 98-108

Funding:

  • 科学技術振興機構 (内閣府戦略的イノベーション創造プログラム(SIP)「革新的構造材料」及び「統合型材料開発システムによるマテリアル革命」)

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2021.1951505

Related item:

Other identifier(s):

Contact agent:

Updated at: 2024-01-05 22:12:55 +0900

Published on MDR: 2023-10-24 13:30:12 +0900

Filename Size
Filename Descriptor extraction on inherent creep strength of carbon steel by exhaustive search.pdf (Thumbnail)
application/pdf
Size 4.03 MB Detail