A5016148902- Structural Health Monitoring Techniques
- Geotechnical Engineering and Analysis
- Geotechnical Engineering and Underground Structures
- Tunneling and Rock Mechanics
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Wind and Air Flow Studies
- Structural Engineering and Vibration Analysis
- Advanced Fiber Optic Sensors
- Fatigue and fracture mechanics
- Railway Engineering and Dynamics
- Optical measurement and interference techniques
- Probabilistic and Robust Engineering Design
- Rock Mechanics and Modeling
- Geotechnical Engineering and Soil Stabilization
- Structural Load-Bearing Analysis
- Civil and Geotechnical Engineering Research
- Ultrasonics and Acoustic Wave Propagation
- Non-Destructive Testing Techniques
- Grouting, Rheology, and Soil Mechanics
- Advanced Measurement and Detection Methods
- Energy Load and Power Forecasting
- Thermography and Photoacoustic Techniques
- Drilling and Well Engineering
- Organic Electronics and Photovoltaics
Zhejiang University
2016-2025
University of Electronic Science and Technology of China
2024
Institute of Optics and Electronics, Chinese Academy of Sciences
2018
Sichuan University
2015
Hong Kong Polytechnic University
2006-2014
Shenzhen Polytechnic
2013
Wenzhou Medical University
2010
Fudan University
2007
Tianjin University
2006
Cracks are a potential threat to the safety and endurance of civil infrastructures, therefore, careful regular structural crack inspection is needed during their long-term service periods. Many image-processing approaches have been developed for detection. However, like traditional edge detection algorithms, these methods easily disturbed by environmental effect. Convolutional neural networks newly excellent performances in image-classification tasks. This study proposes fully convolutional...
For the wind speed prediction, many researchers have established prediction models based on machine learning methods, statistical and theoretical that is, direct methods. However, method cannot be widely used in direction because has strong randomness uncertainty. In order to solve this problem, paper proposed a method, indirect method. Specifically, is decomposed into crosswind alongwind considering correlation between direction. The are predicted long short-term memory (LSTM) model with...
The confining pressure has a great effect on the internal force of tunnel. During construction, which crucial impact tunnel construction changes due to variation groundwater level and applied load. Therefore, safety tunnels must have magnitude accurately estimated. In this study, complete time axis was obtained through high-frequency field monitoring, data are segmented into training set testing set. Using GRU RNN models, prediction model established, results were analyzed. indicate that...
Long-span cable-stayed bridges are prone to significant vibrations under strong wind events such as typhoons, which pose a risk the bridge functioning and driving safety of passing vehicles. Structural health monitoring (SHM) systems were widely deployed in most long-span bridges, providing long-term measurements characteristics girders towers. This paper proposes data-driven approach predict vibration amplitudes girder towers for early warning based on state-of-the-art machine learning...
In comparison with above-ground structures, the investigation of underground space structures still faces great challenges because extremely complicated constitutive relationships soils or rocks. Implementation structural health monitoring (SHM) systems on such as tunnels commencing from construction stage may be help in understanding their operational behaviors and long-term trends. This paper explores application fiber Bragg grating (FBG) sensing technology for safety during railway tunnel...
In this paper, a fiber Bragg grating (FBG)-based stress monitoring system instrumented on an orthotropic steel deck arch bridge is demonstrated. The FBG sensors are installed at two types of critical fatigue-prone welded joints to measure the strain and temperature signals. A total 64 deployed around rib-to-deck rib-to-diagram areas mid-span quarter-span investigated bridge. local behaviors caused by highway loading effect during construction operation periods presented with aid wavelet...
Crack inspection is a crucial but labor-intensive work of maintenance for in-service bridges. Recently, the development fully convolutional network (FCN) provides pixel-wise semantic segmentation, which promising as means automatic crack detection. However, demand numerous training images with labels poses challenges. In this study, benchmark data set called bridge library (BCL) containing 11,000 labeled 256×256 resolution was established, has 5,769 nonsteel images, 2,036 steel 3,195 noise...
The construction of large-diameter shield tunnels underwater involves complex variations in water and earth load outside the tunnel segment, as well intricate mechanical responses. This study analyzes variation laws external loads, axial forces, bending moments acting on segment ring during assembly removal from tail. It accomplishes this through establishment an on-site monitoring system based Internet Things (IoT) proposes a Bayesian-genetic algorithm model to estimate pressure....