Analysis on Human Induced Vibration in Structures and Health Monitoring
Tsering Yonzon, Josh Mehlman
School of Engineering
Faculty Supervisor: Zhaoshuo Jiang
The emphasis of this research is on human-induced vibrations in buildings and their dual application in structural engineering and health monitoring. By a mix of sensor-based data collection, advanced software simulations, and coordinated video, the research identifies how movements of people, in this instance, walking, influence structural response and how the vibrations may be used to assess health measures like gait. It involves experiments on various materials of floors, dynamic simulation based on MassMotion and GSA, and gathering field measurements within the New Science and Engineering Building of San Francisco State University. A new synchronizing algorithm aligns video and sensor data into synchronization, to further enhance accuracy and validation. Through frequency-domain analysis with the Fast Fourier Transform (FFT) and integration with simulation tools, the study here reveals unique patterns in human-induced vibration. These findings support the potential to construct intelligent, nonintrusive systems to quantify structural integrity alongside offering applications in aging care and off-site health monitoring—an interdisciplinary research approach that advances both civil engineering and healthcare technology.