A5101986665- Vibration and Dynamic Analysis
- Fluid Dynamics and Vibration Analysis
- Structural Engineering and Vibration Analysis
- Oil and Gas Production Techniques
- Remote-Sensing Image Classification
- Fault Detection and Control Systems
- Simulation and Modeling Applications
- Seismic Performance and Analysis
- Remote Sensing and Land Use
- Machine Fault Diagnosis Techniques
- Civil and Geotechnical Engineering Research
- Advanced Chemical Sensor Technologies
Fuzhou University
2013-2020
Northeastern University
2020
Northwestern Polytechnical University
2017
Convolutional neural network (CNN) is well known for its capability of feature learning and has made revolutionary achievements in many applications, such as scene recognition target detection. In this paper, hyperspectral images explored by constructing a five-layer CNN classification (C-CNN). The proposed C-CNN constructed including recent advances deep area, batch normalization, dropout, parametric rectified linear unit (PReLU) activation function. addition, both spatial context spectral...
Purpose Viscous dampers are commonly used in large span cable-stayed bridges to mitigate seismic effects and have achieved great success. Design/methodology/approach However, the nonlinear analysis on damper parameters is usually computational intensive nonobjective. To address these issues, this paper proposes a simplified method determine viscous for double-tower bridges. An empirical formula of equivalent damping ratio established through decoupling nonclassical structures linearization...
Floating system of cable-stayed bridges under seismic action will produce larger longitudinal bending moment and displacement, in order to ensure the safety structure, damping measures should be taken direction. Taking a mainspan for 416 m bridge as an example, four different damper layout schemes were analyzed by nonlinear dynamic time history method. The results show that installing viscous dampers at abutment location function better comparing with other three cases. For getting best...