Keyword: fatigue

3 records found.

Kinzoku-spreadsheet-columns-0.6.xlsx
Supplemental data to 'A unified model for metallic materials reliability data and its application in NIMS Metallic Materials Database (Kinzoku)'
Dataset
Creator
Asahiko Matsuda (author) (Search by this author)
Research Network and Facility Services Division, National Institute for Materials Science
ORCID SAMURAI ;
Masahiko Demura (author) (Search by this author)
Research Network and Facility Services Division, National Institute for Materials Science
ORCID SAMURAI ;
Masayoshi Yamazaki (author) (Search by this author)
National Institute for Materials Science
;
Takuya Kadohira (author) (Search by this author)
Research Network and Facility Services Division, National Institute for Materials Science
ORCID SAMURAI ;
Toshihiro Ashino (author) (Search by this author)
Faculty of Regional Development Studies, Toyo University
ORCID ;
Yoshiyuki Furuya (author) (Search by this author)
Research Center for Structural Materials, National Institute for Materials Science
ORCID SAMURAI ;
Kota Sawada (author) (Search by this author)
Research Center for Structural Materials, National Institute for Materials Science
ORCID SAMURAI ;
Nobutaka Nishikawa (author) (Search by this author)
Mizuho Research & Technologies, Ltd.
Keyword
metallic materials, structural materials, database, data format, data model, creep, fatigue
Date published
2025-12-31
Updated at
2025-08-01 08:55:21 +0900

Estimation the S-N Curve by Machine Learning Random Forest Method_Mater. Trans. 65(2024)428-433.pdf
Estimating the S-N Curve by Machine Learning Random Forest Method
Journal article
Creator
Nobuo Nagashima (author) (Search by this author)
ORCID SAMURAI ;
Masao Hayakawa (author) (Search by this author)
ORCID SAMURAI ;
Hiroyuki Masuda (author) (Search by this author)
ORCID SAMURAI ;
Kotobu Nagai (author) (Search by this author)
National Institute for Materials Science
Keyword
fatigue, high-cycle fatigue, data-sheet, machine learning, random forest method
Date published
2024-04-01
Updated at
2024-12-27 16:30:58 +0900