Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System
Ana Gabriela Laínez
|關鍵字:||多跨三維結構;結構健康診斷;多尺度交叉取樣熵;Multi-bay three-dimensional structures;structural health monitoring;multi-scale cross-sample entropy|
|摘要:||本研究以多尺度交叉取樣熵分析(Multi-Scale Cross-sample Entropy, MSCE)為基礎，研發可使用在多跨三維結構進行損傷位置判斷之健康診斷系統。透過MSCE的計算，可分析各垂直相鄰樓層間訊號的差異性，並藉此得到每跨的破壞位置，再對其結果以破壞指數呈現。
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.