Yunfei Li

ORCID: 0009-0003-1872-2589
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About
Contact & Profiles
Research Areas
  • Structural Health Monitoring Techniques
  • Ultrasonics and Acoustic Wave Propagation
  • Machine Fault Diagnosis Techniques
  • Non-Destructive Testing Techniques
  • Geotechnical Engineering and Underground Structures
  • Optical measurement and interference techniques
  • Structural Behavior of Reinforced Concrete
  • Infrastructure Maintenance and Monitoring
  • Anomaly Detection Techniques and Applications
  • Innovative concrete reinforcement materials
  • Advanced machining processes and optimization

Sichuan University
2024-2025

Xi'an Jiaotong University
2025

Laminated rubber bearings may exhibit rupture damage due to factors such as temperature variations and seismic activity, which can reduce their isolation performance. Current detection methods, including human‐vision inspection computer‐vision inspection, have certain limitations in accurately assessing the degree of damage. This study attempts combine piezoelectric‐based active sensing method with a machine learning algorithm detect laminated bearings. A series varying degrees were...

10.1155/stc/6694610 article EN cc-by Structural Control and Health Monitoring 2025-01-01

Sparse regularization methods have been extensively used in impact force identification to accurately determine locations and the time history of forces. It is known that accuracy localization can be significantly improved by increasing location potential action, which also leads a significant increase dimensionality transfer matrix. Consequently, this reduces computational efficiency substantially makes it difficult achieve online monitoring. Considering non-convex sparse method, such as...

10.1177/13835416251328943 article EN International Journal of Applied Electromagnetics and Mechanics 2025-04-15

In bridge engineering, void damage in rubber bearings refers to the phenomenon where gaps occur between bearing and structure due factors such as aging, overloading, earthquakes. Void can lead abnormal stress distribution, deformation failure, uneven load transfer, thereby affecting overall stability safety of bridge. Consequently, long-term monitoring is essential. However, methods manual inspection computer vision have disadvantages, including high costs, lengthy processes, limited scope....

10.1177/14759217251329167 article EN Structural Health Monitoring 2025-04-21

Base-isolated structures can effectively control structural response, of which rubber bearings are key components. To ensure the proper functioning bearings, it is important to accurately detect their state. In previous studies, a smart bearing has been proposed monitor axial pressure, shear deformation, and rupture damage bearings. However, owing small dataset limited ability prediction model, two problems exist in research: (1) cannot be detected simultaneously (2) detection accuracy not...

10.1177/14759217241283725 article EN Structural Health Monitoring 2024-10-19
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