文献
J-GLOBAL ID:201702245103693287
整理番号:17A0115383
動的ニューラルネットワークを用いた変動振幅荷重下でのアルミニウム合金のモデリング亀裂成長【Powered by NICT】
Modeling crack growth of aluminum alloy under variable-amplitude loading using dynamic neural network
著者 (5件):
Zhi Linxian
(Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Melbourne, Australia)
,
Man Zhihong
(Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Melbourne, Australia)
,
Cao Zhenwei
(Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Melbourne, Australia)
,
Tao Mengqiu
(Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Melbourne, Australia)
,
Wang Pengcheng
(Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Swinburne University of Technology, Melbourne, Australia)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ICAMechS
ページ:
453-458
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)