A5101763149- Geophysical Methods and Applications
- Geotechnical Engineering and Underground Structures
- Geotechnical Engineering and Analysis
- Rock Mechanics and Modeling
- Infrastructure Maintenance and Monitoring
- Tunneling and Rock Mechanics
- Seismic Waves and Analysis
- Grouting, Rheology, and Soil Mechanics
- Seismic Imaging and Inversion Techniques
- 3D Surveying and Cultural Heritage
- Structural Health Monitoring Techniques
- Microwave Imaging and Scattering Analysis
- Civil and Geotechnical Engineering Research
- Underground infrastructure and sustainability
- Remote Sensing and LiDAR Applications
- Railway Engineering and Dynamics
- Ultrasonics and Acoustic Wave Propagation
- Landslides and related hazards
- Geophysical and Geoelectrical Methods
- Geotechnical Engineering and Soil Stabilization
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Image and Object Detection Techniques
- Non-Destructive Testing Techniques
- Spacecraft and Cryogenic Technologies
- Drilling and Well Engineering
Tongji University
2016-2025
China Southern Power Grid (China)
2024
Ministry of Transport
2022
Université de Lille
2019
Florida Atlantic University
1993
Ground subsidence is a common geological hazard in urban areas that endangers the safety of infrastructure, such as subways. In this study, ground risk assessment method considering both intensity and susceptibility proposed applied to assess Shanghai Metro network. Initially, PS-InSAR used for survey area. Subsequently, ten causal factors are collected, LightGBM machine learning algorithm employed conduct analysis. Then, matrix introduced define by combining susceptibility. Finally, map...
Deformation monitoring is vital for tunnel engineering. Traditional techniques measure only a few data points, which insufficient to understand the deformation of entire tunnel. Terrestrial Laser Scanning (TLS) newly developed technique that can collect thousands points in minutes, with promising applications monitoring. The raw point cloud collected from TLS cannot display deformation; therefore, new 3D modeling algorithm was this purpose. includes modules preprocessing cloud, extracting...
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...
This paper presents and discusses the role of Internet Things (IoT) crowdsourcing in constructing smart cities. The literature review shows an important increasing concern scientific community for these three issues their association as support urban development. Based on extensive review, first city concept, emphasizing architecture data solutions. second part Things, focusing IoT technology, use applications, security. Finally, with particular attention to mobile its that have a crucial...
Abstract Efficient image‐recognition algorithms to classify the pixels accurately are required for computer‐vision‐based inspection of concrete defects. This study proposes a deep learning‐based model called sparse‐sensing and superpixel‐based segmentation (SSSeg) accurate efficient crack segmentation. The employed sparse‐sensing‐based encoder decoder was compared with six state‐of‐the‐art models. An input pipeline 1231 diverse images specially designed train evaluate results indicated that...
Voids inside reinforced concrete, which affect structural safety, are identified from ground penetrating radar (GPR) images using a completely automatic method based on the support vector machine (SVM) algorithm. The entire process can be characterized into four steps: (1) original SVM model is built by training synthetic GPR data generated finite difference time domain simulation and after preprocessing, segmentation feature extraction. (2) classification accuracy of different kernel...
Ground penetrating radar (GPR) has been widely applied to the detection of subsurface elongated targets, such as underground pipes, concrete rebars, and fractures. The orientation angle a target can hardly be delineated by commercial single-polarization GPR system. In this paper, hybrid dual-polarimetric system, which consists circularly polarized transmitting antenna two linearly receiving antenna, is employed detect buried objects. A polarimetric calibration experiment using gridded...
Finding a low-cost and highly efficient method for identifying subway tunnel damage can greatly reduce catastrophic accidents. At present, health monitoring is mainly based on the observation of apparent diseases vibration monitoring, which combined with manual inspection to perceive status. However, these methods have disadvantages such as high cost, short working time, low identification efficiency. Thus, in this study, algorithm response in-service train WPE-CVAE proposed, automatically...
With the increasing scale of mountain tunnel construction, control tunnelling quality is becoming a major concern. The efficient and accurate assessment overbreak underbreak vital to evaluation optimization quality, but remains challenge. Thus, this paper proposes an method for based on K-dimensional (KD) tree Iterative Closest Point (ICP) algorithm. Firstly, point clouds are acquired using laser scanning during 3D modeling performed. Secondly, as-designed models converted into registered...