A5102902487- Structural Health Monitoring Techniques
- Infrastructure Maintenance and Monitoring
- Ultrasonics and Acoustic Wave Propagation
- Concrete Corrosion and Durability
- Non-Destructive Testing Techniques
- 3D Surveying and Cultural Heritage
- Wind and Air Flow Studies
- Seismic Performance and Analysis
- Geophysical Methods and Applications
- Sparse and Compressive Sensing Techniques
- Structural Analysis and Optimization
- Structural Engineering and Vibration Analysis
- Noise Effects and Management
- Architecture and Computational Design
- Urban Transport and Accessibility
- Environmental Impact and Sustainability
- Probabilistic and Robust Engineering Design
- Innovations in Concrete and Construction Materials
- Geotechnical Engineering and Underground Structures
- Seismic Waves and Analysis
- Structural Response to Dynamic Loads
- Machine Fault Diagnosis Techniques
- Manufacturing Process and Optimization
- Speech and Audio Processing
- Hydraulic flow and structures
Zhejiang University
2007-2025
Yangtze University
2023
Civil structures may deteriorate during their service life due to degradation or damage imposed by natural hazards such as earthquakes, wind, and impact. Structural performance anomaly detection is essential provide an early warning of structural limit states in order prevent potential catastrophic failure. Data-driven machine learning approaches have been widely used for this, capability capturing features sensitive damage-induced anomalies from health monitoring (SHM) data, assuming that...
Structures are subjected to various kinds of structural deterioration and damage with use over long periods service life. For the safety assurance structures, it is very important have a long-term monitoring system continuous assessments integrity using measured data. The objective this paper develop an anomaly detection algorithm for health (SHM) based on probabilistic principal component analysis (PPCA). Static stress data were used in system. A baseline PPCA model built under...
The construction industry takes up a significant part of global energy consumption and carbon emissions, thus accurate calculation evaluation full life-cycle emissions different types building structures are important for low carbon-oriented structural design. Large-span usually consume more materials, need complex processes, have larger environmental impact. In this study, the life cycle assessment emission space frame which is classical type large-span structure conducted. Space with...
Identification of earthquake ground motion from structural health monitoring (SHM) data provides a good means to reconstruct seismic loads that are essential for postearthquake safety assessments and disaster simulations structures. Because the measured by an SHM system absolute response, they cannot be directly applied equation, which is established in relative coordinate system. As such, this paper originally derives equation then expands into modal space. In addition, proposed method...
Vibration data often carries important information about the dynamic characteristics of structures, but continuous collection high-frequency vibration can create practical challenges (e.g., transmission and storage large amounts data). Compressive sensing (CS), which integrates acquisition compression utilizing sparse nature signals, shows promise in mitigating measurement, transmission, storage. The presence side lobes discrete Fourier transform (DFT) known as spectral leakage effect,...
Prestressed structures have gained popularity in large-span buildings due to their great spanning capacity and light self-weights. This kind of structure is normally subjected multiple types loads, such as temperature load, wind construction load. The determination different load effects not only guides the design similar but also helps reveal damage-induced variation that would be concealed by environmental loads. To determine effects, separation collected structural health monitoring (SHM)...
Structural anomaly detection based on the structural health monitoring (SHM) data has attracted significant attention owing to its important role in early warning of damage existing civil structures. Data-driven approaches, where damage-sensitive features are extracted directly from SHM using statistical pattern recognition (SPR) techniques without physical models structures, have been widely studied. Principal component analysis (PCA) and probabilistic PCA (PPCA) powerful efficient SPR...
The construction site environment is quite complex with many dangerous hazards (e.g., foundation pits, holes). To avoid injuries, workers must wear helmets that are color-coded for the specific type of work, which helpful to identify whether in permitted areas. Therefore, it possible unauthorized intrusion by classifying safety helmets. This study proposes a vision-based method called Helmet–Yolov5 automatically detect intrusions on sites. Multiple improvement measures made enhance model...
Space grid structures are widely used in the field of structural engineering due to their good mechanical properties and simple construction procedures. This paper reviews development space mainly introduces China recent years. Some typical applications introduced technical developments summarized. It shows that not only has a large number structures, but also rapid related technologies. Finally, some prospects for discussed.
In urban areas, variations in the functional usage of buildings or their clusters directly influence 2D/3D morphology which can lead to changes ventilation potential (VP) at different heights, but there is a lack refined quantitative relationship analysis between 3D building form parameters (BFPs) and VP heights within certain area. The objective our study obtain simulated wind field data from considering distances roads, transverse longitudinal sections. We employ partial correlation...