Presenter: Yao Wang
Organization: Stevens Institute of Technology
INFRASTRUCTURE
Abstract:
Monitoring cracks is critical for the safety and quality of construction and operation of civil infrastructure. Distributed fiber optic sensors have been utilized to monitor near-field cracks but are insensitive to far-field cracks. This paper presents an approach for real-time monitoring of far-field cracks based on distributed acoustic sensing.
The approach was implemented into a concrete highway bridge, and the performance of the approach was evaluated using a computational model for multi-physics simulations. The results showed that the approach was able to accurately detect and locate far-field cracks six meters away from fiber optic cables with appropriate threshold and temperature compensation. The configurations of the sensing system, such as gauge length, channel spacing, and sampling rate, exhibited significant impacts on crack monitoring results and localization performance.
The capability of real-time monitoring of far field cracks advances the construction and operation of infrastructure.
Mr. Yao Wang is a Ph.D. student in the Department of Civil, Environmental, and Ocean Engineering at Stevens Institute of Technology, advised by Professor Yi Bao. His research focuses on structural health monitoring using advanced acoustic sensing technologies, including Distributed Acoustic Sensing, Acoustic Emission, and Guided Wave. He integrates experiments, multi-physics finite element modeling, and machine learning to investigate wave propagation, signal processing, and sensing configuration optimization for damage detection in civil infrastructure.
Presentation Slides:
To be added.