Bridge Health Monitoring using Wavelet Analysis

摘要

Bridge health monitoring is defined as the continuous monitoring of a bridge's state properties such as static and dynamic response in order to diagnose the onset of anomalous structural behavior. This involves measuring and evaluating the state properties and relating these to defined performance parameters. The process of measuring state properties, either continuously or periodically, produces large amounts of data. Careful analysis of dat would detect any sudden and gradual changes in the bridge, and thus enable damage detection, location, and severity. There is therefore a need for data analysis tools that enable bridge managers to identify as much information as possible on bridge behavior and performance at given tie. The ability of wavelet transforms to detect abrupt changes; gradual change beginnings and ends of events make them well suited for the analysis of bridge health monitoring data. This paper presents the application of wavelet analysis to identify events and changes in a bridge during its construction.