Enhancing bridge structural health monitoring through the appearance frequency parameter

Abstract

This research introduces an innovative approach to dynamic testing by integrating conventional inspection techniques with modern monitoring methods, specifically adapted for both small- and large-scale bridges. Based on a comprehensive survey of some bridges with various structural compositions, construction periods, and designs, the study proposes a new parameter, termed the appearance frequency (AF) value of harmonic frequencies. This parameter is designed to address the limitations of traditional methods that rely solely on eigenvalues, eigenvectors, or mode shapes to assess structural changes. The AF parameter provides a more sensitive and accurate measure to detect real-time stiffness degradation in bridge structures. Field data from numerous bridge sites in Ho Chi Minh City, Vietnam, demonstrate the superior sensitivity and effectiveness of the AF parameter in evaluating and categorizing bridge deterioration. Furthermore, experimental results on a beam model highlight the efficacy of the AF parameter in tracking crack development, showing significant advantages over conventional metrics. The versatility of the AF parameter allows its application across various structural models, enhancing the overall reliability and accuracy of bridge health monitoring systems.