Project AI assisted Electromechanical Impedance for Civil Infrastructure Monitoring Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Summer 2025 Status Accepted Research Area Signal processing, IoT, Machine Learning Description This project aims to explore the application of the electromechanical impedance (EMI) method for structural health monitoring (SHM). The EMI technique relies on the interaction between piezoelectric sensors and host structures, where changes in structural conditions alter the impedance response of the sensors. By analyzing these impedance variations, it is possible to assess structural integrity and detect damage. The project will involve the development and validation of EMI-based monitoring techniques for concrete structures, with a focus on establishing the relationship between EMI signatures and structural integrity. Supervisor Yining Feng Mentor Yutao Bi Type of work required ? Learn and investigate the sensor design.
? Study the fundamental principles of EMI-based structural health monitoring.
? Analyze impedance signals to identify damage indicators.
? Develop signal processing to improve damage detection.
Websites Qualifications ? GPA > 3.2. ? Basic knowledge of concrete structure, electrical circuits, and signal processing. ? Applicants with experience with data analysis and sensor technology is preferred. Credit Hours 0 Weekly Hours 40 (estimated)