Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Enbo Yu"'
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 9, Iss 3, Pp 339-362 (2022)
Due to increased demands in transportation development, bridge construction has been extended to areas with complex wind fields. In addition to common flow features such as high wind speeds and strong turbulence intensity, in coastal areas, bridges a
Externí odkaz:
https://doaj.org/article/3771ca8c6ad9482baf7c576ed72cd176
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
As long-span cross-sea bridges extend to deeper sea areas, the bridge pile tends to increase in its slenderness ratio and becomes more susceptible to waves. To improve the structural stability at the construction stage, this study analyses wave-induc
Externí odkaz:
https://doaj.org/article/cea3dbec833d475da549d65a9ea30f7b
Autor:
Guoji Xu, Chengjie Ji, Yong Xu, Enbo Yu, Zhiyang Cao, Qinghong Wu, Pengzhi Lin, Jinsheng Wang
Publikováno v:
Applied Ocean Research. 134:103511
Autor:
Yujia Zhao, Dai Xiao, Luwen Zhang, Daili Song, Rui Chen, Shiqian Li, Yijie Liao, Yimin Wen, Weizhe Liu, Enbo Yu, Yiping Wen, Rui Wu, Qin Zhao, Senyan Du, Xintian Wen, Sanjie Cao, Xiaobo Huang
Publikováno v:
Veterinary microbiology. 265
Porcine deltacoronavirus (PDCoV) is highly pathogenic to piglets, and no specific drugs or vaccines are available for the prevention and treatment of PDCoV infection, the need for antiviral therapies is pressing. HSP90 inhibitors have potent inhibito
Publikováno v:
Energy. 256:124569
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 228:105101
Publikováno v:
Advances in Bridge Engineering. 2
In this study, three machine learning techniques, the XGBoost (Extreme Gradient Boosting), LSTM (Long Short-Term Memory Networks), and ARIMA (Autoregressive Integrated Moving Average Model), are utilized to deal with the time series prediction tasks
Autor:
Zitong Zhang, Enbo Yu
Publikováno v:
Journal of Physics: Conference Series. 1994:012003
English billboards are common in our daily work and life, and how to effectively recognize them is a problem worthy of study. This paper mainly uses Progressive Scale Expansion Network (PSENet) and Convolutional Recurrent Neural Network (CRNN) to con
Publikováno v:
International Journal of Structural Stability and Dynamics. 20:2050102
In mountainous areas, more challenges are expected for the construction of long-span bridges. The flutter instability during erection is an outstanding issue due to flexible structural characteristics and strong winds with large angles of attack. Tak
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
As long-span cross-sea bridges extend to deeper sea areas, the bridge pile tends to increase in its slenderness ratio and becomes more susceptible to waves. To improve the structural stability at the construction stage, this study analyses wave-induc