Abstract
In the last 40 years, the interest of the civil engineering community in structural health monitoring has grown remarkably, driven by an increased concern for structural safety and reliability. This motivation, coupled with the enormous strides in computational efficiency, has paved the way for development of vibration-based structural health monitoring techniques for automatic inspection of civil infrastructure systems. This briefing presents the emerging discipline of statistical pattern-recognition-based structural health monitoring, which is able to assess structural conditions rapidly while accounting for the unavoidable uncertainties affecting any real-life application.
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