Damage diagnosis of three-dimensional structures by entropy-based structural health monitoring system

In this paper, a structural health monitoring (SHM) system based on multi-scale cross-sample entropy (MSCE) is proposed in this work to detect damage locations in multi-bay three-dimensional structures. The location of damage is evaluated for each bay through MSCE analysis by examining the degree of dissimilarity between the response signals of vertically adjacent floors. Subsequently, the results are quantified by the damage index (DI). The performance of the proposed SHM system was determined by conducting a numerical simulation on a multi-bay seven-story structure. According to the results obtained, the SHM system used in this work can successfully detect the damaged floors and their respective directions for several cases. Furthermore, it provides a preliminary assessment as to which bay has been more severely affected. Thus, the effectiveness and high potential of the SHM system for locating damage in large and complex structures quickly and at low cost is demonstrated.