A5100608971- Geotechnical Engineering and Analysis
- Geotechnical Engineering and Underground Structures
- Infrastructure Maintenance and Monitoring
- Rock Mechanics and Modeling
- Landslides and related hazards
- Advanced Computational Techniques and Applications
- Wave and Wind Energy Systems
- Asphalt Pavement Performance Evaluation
- Advanced Algorithms and Applications
- Advanced Photonic Communication Systems
- Image Processing and 3D Reconstruction
- Ship Hydrodynamics and Maneuverability
- Semiconductor Lasers and Optical Devices
- Water Quality Monitoring Technologies
- Geotechnical Engineering and Soil Stabilization
- Microbial Fuel Cells and Bioremediation
- Metal Extraction and Bioleaching
- Advanced Sensor and Control Systems
- Photonic and Optical Devices
- Offshore Engineering and Technologies
- Fluid Dynamics Simulations and Interactions
- Advanced Decision-Making Techniques
- Structural Engineering and Vibration Analysis
- Concrete Corrosion and Durability
- Underwater Vehicles and Communication Systems
Ministry of Transport
2022-2025
Zhejiang Lab
2023
Hohai University
2021
Shandong Jianzhu University
2019
Naval University of Engineering
2009
Abstract It is necessary to study the seismic problem of buildings and structures for various safety reasons. Such as prevent reduce damage caused by earthquakes greatest extent possible, research feasible analysis methods, simulate performance structure under earthquake action computer, keep its design in future action, ensure people's lives property. The based on nonlinear vibration control proposed. SAP2000 software used establish model, foundation isolation floor model a 15-story large...
As highway tunnel operations continue over time, structural defects, particularly cracks, have been observed to increase annually. Coupled with the rapid expansion of networks, traditional manual inspection methods proven inadequate meet current demands. In recent years, machine vision and deep learning technologies gained significant attention in civil engineering for detection analysis defects. However, accurate defect identification tunnels presents challenges due complex background...
Clogging constitutes a significant obstacle to shield tunneling in mudstone soils. Previous research has focused on investigating the influence of soils and slurry properties clogging, although little attention been paid impact parameters particularly early clogging warning during tunneling. This paper contributes developing real-time early-warning approach, based self-updating machine learning method. The judgment criteria are statistical characteristics whole-ring parameters. proposes use...
Under long-term cyclic loading, marine soft clay in coastal areas is more likely to exhibit partially drained behavior than undrained behavior. The dynamic of tends exert a significant effect on the post-cyclic characteristics. Thus, this study conducted two series monotonic shearing tests investigate mechanical after (50,000 cycles) traffic loading terms variable confining pressure (VCP). stress path, pore water pressure, and shear strength were discussed through comparison results with...
Under the dual effects of rapid growth tunnel mileage and operating years, application research crack identification based on machine vision are increasing with vigorous development vision. However, due to complex environment in tunnels, it is difficult quickly obtain lining cracks via computer visions tunnel. Therefore, this paper presents design a fast acquisition system geometric feature analysis for cracks, which has been integrated into inspection vehicle module. Through image lining,...
Columnar jointed basalts (CJB) are featured by the joint network of discontinuities, which is hard for geotechnical design and construction. Therefore, investigating mechanical behaviors CJB significant long‐term use engineering structures. In this paper, field research studies, such as rigid bearing plate tests acoustic tests, were employed, to obtain deformation modulus velocity columnar basalts, formula expressed was then established, would be a useful guidance site operation. Based on...
The component materials are important resources to ensure the daily operation of power distribution network, and their effective allocation is great significance for network. Based on historical consumption quantity proportion various in network guided by concept life cycle, a model established evaluate predict material demand under different states, which can improve rationality support process existing methods mainly need completely rely actual situation site, carry out series including...