Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Fully decouple convolutional network for damage detection of rebars in RC beams — Haowei Zhang (2023) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Fully decouple convolutional network for damage detection of rebars in RC beams
Shared by
Jun Li
Curtin University
Fully decouple convolutional network for damage detection of rebars in RC beams
Article
2023
en
Authors
+3 more
HZ
Haowei Zhang
KG
Kang Gao
HH
Huiying Huang
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2021
Vibration-based damage detection of Z24 bridge using two-dimensional convolutional neural network
Tran Hieu Nguyen
,
Dung Ngoc-Bui
,
Lan Ngoc-Nguyen
,
Thanh Bui-Tien
,
Guido De Roeck
,
Magd Abdel Wahab
Article
1999
Damage Detection on a Prestressed Concrete Bridge and RC Beams Using Dynamic System Identification
Johan Maeck
,
Guido De Roeck
Key engineering materials
Article
2025
Novel FRP-RC beams with ductile FRP-UHPC hybrid rebars in the compression zone: Flexural behaviour
Shi Shun Zhang
,
Yuxiang Liu
,
Y. Ke
,
X.F. Nie
,
Tao Yu
Article
2018
Evaluation of convolutional neural network features for malware detection
Kemal Özkan
,
Şahin Işık
,
Yusuf Kartal
Article
2021
Dual attention mechanism object tracking algorithm based on Fully-convolutional Siamese network
Sugang Ma
,
Zixian Zhang
,
Lei Zhang
,
Yanping Chen
,
Xiaobao Yang
,
Lei Pu
,
Zhiqiang Hou
Discussion(0)
No comments yet. Be the first to comment.