Prewarning of the China National Aquatics Center using Johnson Transformation based Statistical Process Control

摘要

Structural health monitoring (SHM) is regarded as an effective technique for structural damage diagnosis, safety and integrity assessment and service life evaluation. SHM techniques based on vibration modal parameters are ineffective for space structure health maintenance and the statistical process control (SPC) technique is a simple and effective tool to monitor the operational process of structures. Therefore, employing strain measurements from optical fiber Bragg grating (OFBG) sensors, the Johnson transformation based SPC is proposed to monitor structural health state and some unexpected excitements on line in this paper. The large and complicated space structure-the China National Aquatics Center is employed as an example to verify the proposed method in both numerical and experimental aspects. It is found that the Johnson transformation can effectively improve the quality of SPC for SHM process, and it can clearly and effectively monitor structural health state and detect the unexpected external load happened in structures.