Cost-Effective Vibration Monitoring for Anomaly Detection and Localization in Existing Structures

The ability to detect and predict the progressive degradation of structures, whether due to natural material aging or unexpected events such as earthquakes or explosions, is essential for ensuring safety and structural resilience. However, identifying damage through changes in modal parameters is often a challenging and resource-intensive task, particularly when external factors like environmental conditions interfere with the analysis. Promptly assessing changes in a structure's behavior is critical for protecting human lives and enabling timely interventions. Rapid responses in critical situations can minimize disruptions, reduce downtime, and facilitate faster recovery when possible. This study introduces a methodology that processes data directly from a continuous monitoring system, significantly reducing computational demands. By bypassing the extraction of modal characteristics, the proposed approach delivers near-instant feedback on changes in dynamic behavior. This capability is key to advancing sustainable, cost-effective, and efficient monitoring practices, ensuring timely and reliable structural assessments.