A5100627414- Structural Health Monitoring Techniques
- Ultrasonics and Acoustic Wave Propagation
- Aluminum Alloy Microstructure Properties
- Concrete Corrosion and Durability
- Metallurgy and Material Forming
- Infrastructure Maintenance and Monitoring
- Aluminum Alloys Composites Properties
- Structural Behavior of Reinforced Concrete
- Structural Load-Bearing Analysis
- Non-Destructive Testing Techniques
- Innovative concrete reinforcement materials
- Microstructure and mechanical properties
- Geomechanics and Mining Engineering
- Remote Sensing and Land Use
- Fire effects on concrete materials
- Structural Response to Dynamic Loads
- Structural Engineering and Vibration Analysis
- Civil and Geotechnical Engineering Research
- Geotechnical Engineering and Soil Stabilization
- Smart Materials for Construction
- Metal Forming Simulation Techniques
- Geotechnical Engineering and Underground Structures
- Geoscience and Mining Technology
- Structural Integrity and Reliability Analysis
- Seismic Performance and Analysis
Beihang University
2025
Harbin Institute of Technology
2015-2024
Fuzhou University
2022-2024
Ministry of Industry and Information Technology
2018-2024
State Grid Corporation of China (China)
2024
Dalian University of Technology
2023-2024
Shanghai Polytechnic University
2024
Jinhua Central Hospital
2024
Hebei Medical University
2024
Second Hospital of Hebei Medical University
2024
Structural condition identification based on monitoring data is important for automatic civil infrastructure asset management. Nevertheless, the are almost always insufficient because real-time of a structure only reflect limited number structural conditions, while possible conditions infinite. With data, performance may significantly degrade. This study aims to tackle this challenge by proposing deep transfer learning (TL) approach identification. It effectively integrates physics-based and...
The effects of ultrasonic treatment on the flotation behavior magnesite and dolomite in a sodium oleate system were investigated, separation tests mixed ore conducted. mechanism through which enhanced was analyzed via zeta potential analysis, adsorption capacity measurements, X-ray photoelectron spectroscopy. test results revealed that recovery dolomite. Simultaneous improved efficiency dolomite, with concentrate reaching 91.06%. Moreover, increased sites mineral surface, facilitating easier...
This paper illustrates the effect of temperature on microstructure and mechanical properties reactive powder concrete (RPC) containing polypropylene (PP) fibres. Thermal conductivity, thermogravimetry, differential scanning calorimetry mercury intrusion porosity measurements were taken compressive tensile strength tests performed over a range 20–800°C. The PP fibre content, specimen dimensions explosive spalling investigated as part this study, various decomposition phases identified using...
Civil infrastructures are critical to every nation, due their substantial investment, long service period, and enormous negative impacts after failure. However, they inevitably deteriorate during lives. Therefore, methods capable of assessing conditions identifying damage in a structure timely accurately have drawn increasing attention. Recently, compressive sensing (CS), significant breakthrough signal processing, has been proposed capture represent compressible signals at rate...
Piezoceramic-based smart aggregate has been widely used to evaluate early-age concrete strength and detect damage in structures. In these structural health monitoring systems, they are generally verified calibrated through experiments under load-free condition. However, the stress levels of actual members different. The microstructures will change with variation external load, high-frequency waves system may be highly sensitive changes. this study, effects axial compressive loading on...
Deep learning algorithms are transforming a variety of research areas with accuracy levels that the traditional methods cannot compete with. Recently, increasingly more efforts have been put into structural health monitoring domain. In this work, we propose new deep convolutional neural network, namely SHMnet, for challenging condition identification case, is, steel frame bolted connection damage. We perform systematic studies on optimisation network architecture and preparation training...
Offshore wind turbines are a complex, dynamically sensitive structure due to their irregular mass and stiffness distribution, complexity of the loading conditions they need withstand. There other challenges in particular locations such as typhoons, hurricanes, earthquakes, sea-bed currents, tsunami. Because offshore have stringent Serviceability Limit State (SLS) requirements be installed variable often complex ground conditions, foundation design is challenging. Foundation must robust...
Rosuvastatin is a potent inhibitor of 3-hydroxy-3-methylglutaryl-CoA reductase and has been shown to be highly effective in reducing low-density lipoprotein cholesterol. Clinical trials have demonstrated that renal excretion and, particular, tubular secretion, plays role rosuvastatin clearance. The aim this study was determine the involvement basolateral organic anion transporters, OAT1 OAT3, uptake rosuvastatin. Expression human (h) OAT3 <i>Xenopus</i> oocytes significantly increased above...