Health assessment based on dynamic characteristics of reinforced concrete beam using realtime wireless structural health monitoring sensor

Abstract

ABSTRACT The uses of dynamic estimations on existing structures are numerous: evaluation of their seismic vulnerability, structure’s abilities in post-quake circumstances or after changes in the region, and so on. At present, this sort of estimation enables auxiliary conclusion on a global scale, while the identification and the assessment of local damage (each element of the structure) needs to be investigated. Additionally, we begin to co-exist and interact with smart interconnected devices known as the Internet of Things (IoT). The IoT brought new opportunities for our society. Yet, most of the existing Structural Health Monitoring (SHM) systems are not connected to the IoT. Hence, this article studies the integration of complete real-time SHM platform with the Iot system, which can provide structural health of a structure and the performance of this sensor was check on a reinforced concrete (RC) beam. The RC beam was loaded in the central part in several stages corresponding to different damage states. Displacements were measured simultaneously using displacement sensors. After each load/unload cycle, dynamic measurements were taken using accelerometers. The perceptions from investigation were displayed, with the presence of damage and the reduction in natural frequencies that occurred in conjunction with reduction in stiffness.