A5074413345- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Industrial Vision Systems and Defect Detection
- 3D Surveying and Cultural Heritage
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Aerodynamics and Fluid Dynamics Research
- Adaptive Control of Nonlinear Systems
- Sensorless Control of Electric Motors
- Brake Systems and Friction Analysis
- Non-Destructive Testing Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Geophysical Methods and Applications
- Digital Marketing and Social Media
- Smart Agriculture and AI
- Inertial Sensor and Navigation
- Technology Adoption and User Behaviour
- Belt Conveyor Systems Engineering
- Electric Motor Design and Analysis
- Real-time simulation and control systems
- Railway Engineering and Dynamics
- Advanced Measurement and Detection Methods
- Concrete Corrosion and Durability
- Advanced Image and Video Retrieval Techniques
- Power Line Inspection Robots
Shandong University
2025
Tongji University
2018-2024
China Agricultural University
2018-2024
Beihang University
2017-2023
China Academy of Information and Communications Technology
2016-2023
Hebei University of Engineering
2023
Macau University of Science and Technology
2022
Institute of Acoustics
2012-2020
Beijing Institute of Technology
2010-2020
Seattle University
2020
Three-dimensional (3D) digital technology is essential to the maintenance and monitoring of cultural heritage sites. In field bridge engineering, 3D models generated from point clouds existing bridges drawing increasing attention. Currently, widespread use unmanned aerial vehicle (UAV) provides a practical solution for generating as well models, which can drastically reduce manual effort cost involved. this study, we present semi-automated framework structural surface bridges. To be...
What happens if efforts to achieve sustainability fail? Research in many fields argues that contemporary global industrial civilization will not persist indefinitely its current form, and may, like past human societies, eventually collapse. Arguments environmental studies, anthropology, other indicate this transformation could begin within the next half-century. While imminent collapse is far from certain, it prudent consider now how develop sociotechnical systems for use these scenarios. We...
This article proposes a deep convolutional neural network with perceptible generalization ability for structural topology optimization. The architecture of the is made up encoding and decoding parts, which provide down- up-sampling operations. popular U-Net was adopted to improve performance proposed network. To train network, large dataset generated by Simplified Isotropic Material Penalization (SIMP). method evaluated comparing its efficiency accuracy SIMP on series typical optimization...
Nitrogen doping emerges as a potent approach to enhance the oxidase-like activity of carbon nanozymes. However, unclear knowledge active nitrogen species within nitrogen-doped nanozymes hinders advancement high-performance Herein, group (N/C) with controllable dopants are successfully synthesized via dicyandiamide-assisted pyrolysis method. The intrinsic connection between different configurations (pyridinic N, pyrrolic and graphitic N) in N/C performance experimentally investigated. results...
Vehicle detection and classification have become important tasks for traffic monitoring, transportation management pavement evaluation. Nowadays there are sensors to detect classify the vehicles on road. However, one hand, most rely direct contact measurement vehicles, which interrupt traffic. On other complex road scenes produce much noise consider when process signals. In this paper, a data-driven methodology of using strain data is proposed. The well arranged under bridge deck without...
Bolts are widely applied to the connections of structural components. Under actions alternative forces induced by external loads, bolts commonly inevitable be loosening in engineering, which will a threat safety. To avoid reduction pretightening force, it is vital examine status periodically. So far, manual inspection with torque wrench most frequently used approach, even though time-consuming, labor-intensive, and low frequency data acquisitions for maintenance. Due looseness follows...
Since the high randomness feature of traffic flows, it is challenging to be aware spatial-temporal characteristics dynamic vehicle loads on a long-span bridge. Compared with conventional measuring approaches, computer vision-based techniques have competitive advantages in measurement factual parameters, including passing time, velocity, type, and corresponding locations bridge at each timestamp. In this paper, framework for identifications bridges proposed. To specific, consists two major...
The orthotropic steel-box girder (OSG) is widely used in the construction of a large-scale bridges. Since cumulative damages caused by heavy vehicles and initial flaws welding, bridges with OSGs frequently suffer from fatigue cracks, which are commonly distributed around U-ribs. Hence, management cracks mandatory practical engineering. Although some techniques have been adopted for detection workflow often labor-intensive, time-consuming, low-temporal resolution. Considering optical...
Among the existing methods for maintenance and monitoring of bridges, human eye evaluation, which is inevitably subjective time-consuming, still most widely applied. In this paper, a new automatic inspection method deterioration bottom steel box girder based on computer vision proposed. First, system installed bridge vehicle used to capture photos girder, are synthesized into panoramas by image stitching technology. Then, U-net semantic segmentation network identify diseases in panoramas....
Intracranial hemorrhage (ICH) is a critical disease that requires immediate diagnosis and treatment. Accurate detection, subtype classification volume quantification of ICH are aspects in diagnosis. Previous studies have applied deep learning techniques for analysis but usually tackle the aforementioned tasks separate manner without taking advantage information sharing between tasks. In this paper, we propose multi-task fully convolutional network, ICHNet, simultaneous segmentation ICH. The...
Abstract In sonic logging while drilling (LWD), it is difficult to extract reflection signals for the goal of geo-steering as wave fields are so complicated. It important analyse and scattering effects based on synthetic acoustic real LWD models, considering medium discontinuity at end borehole. We numerically investigate responses reflective boundaries out To simulate received signals, 3D finite difference in time domain method implemented. Mode conversions between collar Stoneley waves...
Abstract· This paper mainly demonstrates some experiences in China regarding surface damage inspection and performance evaluation of reinforced concrete (RC) bridges. To begin with, the mechanisms major damages RC bridges such as chloride attack, carbonation, rebar corrosion are briefly reviewed. A statistical result cracking that exists (prestressed) is presented well. Second, practices crack by using computer vision deep learning on pylons Jiang‐Yin Yangtze River bridge demonstrated....
Due to the absence of antifatigue design under vehicle-induced aerodynamic load (VIAL) during process structural design, failures noise barriers erected on urban highway viaducts have become a common issue in China. In this paper, novel VIAL monitoring methodology is proposed, which can achieve remote measuring only by analysis and application data from traffic-monitoring camera. To establish methodology, determinative model computer vision system for vehicle running characteristics are...
What happens if efforts to achieve sustainability fail? Research in many fields argues that contemporary global industrial civilization will not persist indefinitely its current form, and may, like past human societies, eventually collapse. Arguments environmental studies, anthropology, other indicate this transformation could begin within the next half-century. While imminent collapse is far from certain, it prudent consider now how develop sociotechnical systems for use these scenarios. We...
Timely wear evaluation is crucial in maintaining the functionality of bridge expansion joints (BEJs), ultimately ensuring safety bridges. Despite significance traffic load simulation (TLS) simulation‐based methods, existing TLS approaches face challenges accurately modeling situ flow at a high fidelity. This paper presents novel methodology and its application for evaluating performance BEJs, employing Transformer‐enhanced approach. Initially, tailored dataset crafted data‐driven...
Viral communities exist in a variety of ecosystems and play significant roles mediating biogeochemical processes, whereas viruses inhabiting strongly alkaline geochemical systems remain underexplored. In this study, the viral diversity, potential functionalities, virus-host interactions environment (pH = 10.4-12.4) exposed to leachates derived from serpentinization-like reactions smelting slags were investigated. The populations (e.g., Herelleviridae, Queuovirinae, Inoviridae) closely...
With the development of ecological irrigation area at present, it requires higher detection and control weeds in area. In this paper, aiming area, a classification method based on convolutional neural network(CNN) is proposed. By collecting 3 kinds crops as data sets UAV-based, through cutting, gray scale so on, transported to CNN. Finally, 6 categories classifications are implemented. The results show that recognition rate can reach 95.6%. order prevent specific weeds, detecting single...