文献
J-GLOBAL ID:202202214348970001
整理番号:22A0431919
機械学習を用いた鋼製モーメントフレームの高速地震損傷状態評価【JST・京大機械翻訳】
Rapid seismic damage-state assessment of steel moment frames using machine learning
著者 (4件):
Nguyen Hoang D.
(Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan, Republic of Korea)
,
LaFave James M.
(Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign (UIUC), Urbana, IL 61801, USA)
,
Lee Young-Joo
(Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan, Republic of Korea)
,
Shin Myoungsu
(Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan, Republic of Korea)
資料名:
Engineering Structures
(Engineering Structures)
巻:
252
ページ:
Null
発行年:
2022年
JST資料番号:
C0709B
ISSN:
0141-0296
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)