文献
J-GLOBAL ID:202202234744655509
整理番号:22A0477798
FEMと1D-CNNを統一する構造損傷検出のためのハイブリッド方法論:典型的な高パイル岸壁に関する実証【JST・京大機械翻訳】
A hybrid methodology for structural damage detection uniting FEM and 1D-CNNs: Demonstration on typical high-pile wharf
著者 (6件):
Zhou Yujue
(Department of Civil Engineering, Sanming University, Sanming 365004, PR China)
,
Zhou Yujue
(Department of Hydraulic Engineering, Civil Engineering College, Tongji University, Shanghai 200092, PR China)
,
Zheng Yonglai
(Department of Hydraulic Engineering, Civil Engineering College, Tongji University, Shanghai 200092, PR China)
,
Liu Yongcheng
(Department of Hydraulic Engineering, Civil Engineering College, Tongji University, Shanghai 200092, PR China)
,
Pan Tanbo
(Department of Hydraulic Engineering, Civil Engineering College, Tongji University, Shanghai 200092, PR China)
,
Zhou Yubao
(Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft 2600AA, Netherlands)
資料名:
Mechanical Systems and Signal Processing
(Mechanical Systems and Signal Processing)
巻:
168
ページ:
Null
発行年:
2022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)