文献
J-GLOBAL ID:201902248695778481
整理番号:19A0319078
鋼橋の性能予測のための監視された毎日の極端な応力データの使用:動的線形モデルとGauss混合粒子フィルタ【JST・京大機械翻訳】
Use of monitored daily extreme stress data for performance prediction of steel bridges: Dynamic linear models and Gaussian mixed particle filter
著者 (2件):
Fan Xueping
(Key Laboratory of Mechanics on Disaster and Environment in Western China (Lanzhou University), The Ministry of Education of China, School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, PR China)
,
Liu Yuefei
(Key Laboratory of Mechanics on Disaster and Environment in Western China (Lanzhou University), The Ministry of Education of China, School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, PR China)
資料名:
Mechanical Systems and Signal Processing
(Mechanical Systems and Signal Processing)
巻:
121
ページ:
841-855
発行年:
2019年
JST資料番号:
T0514A
ISSN:
0888-3270
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)