文献
J-GLOBAL ID:202102221869408985
整理番号:21A0036993
ディジタルツインと多重時系列積層に基づく道路トンネル舗装性能の予測【JST・京大機械翻訳】
Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking
著者 (7件):
Yu Gang
(SILC Business School, Shanghai University, Shanghai 201800, China)
,
Yu Gang
(SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 200072, China)
,
Zhang Shuang
(SILC Business School, Shanghai University, Shanghai 201800, China)
,
Zhang Shuang
(SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 200072, China)
,
Hu Min
(SILC Business School, Shanghai University, Shanghai 201800, China)
,
Hu Min
(SHU-SUCG Research Centre for Building Industrialization, Shanghai University, Shanghai 200072, China)
,
Wang Y. Ken
(Computer Information Systems and Technology, University of Pittsburgh, Pittsburgh 15260, PA, USA)
資料名:
Advances in Civil Engineering (Web)
(Advances in Civil Engineering (Web))
巻:
2020
ページ:
Null
発行年:
2020年
JST資料番号:
U7655A
ISSN:
1687-8086
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)