Advanced Structural Health Monitoring of Bridges Using Representative Power Spectral Density Analysis: A Case Study on the Giongong_To Bridge, Ho Chi Minh City, Vietnam

This study addresses the limitations of traditional bridge health monitoring methods by introducing the representative power spectral density (RPSD) approach, which provides a comprehensive analysis of multifrequency vibrations to detect changes in bridge stiffness under various damage conditions. Motivated by the need for more accurate and sensitive damage detection tools, this study applied RPSD to the Giongong_To bridge in Ho Chi Minh City, Vietnam, to monitor structural degradation over time. Our key findings demonstrate that as bridge damage progresses, vibrational energy shifts from high to lower frequencies, indicating a loss of stiffness. This method improves early detection capabilities, offering economic and safety benefits for bridge maintenance in infrastructure management. The RPSD approach therefore represents a valuable tool for real-time structural health monitoring, especially within extensive bridge networks like those in Vietnam.