Prewarning of the China National Aquatics Center using Johnson transformation based statistical process control

Deyi Zhang, Y. Bao, Hui Li, J. Ou
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Abstract

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.
基于Johnson变换的统计过程控制的中国国家游泳中心预警
结构健康监测(SHM)被认为是结构损伤诊断、安全完整性评估和使用寿命评估的有效技术。基于振动模态参数的SHM技术在空间结构健康维护中是无效的,而统计过程控制(SPC)技术是监测结构运行过程的一种简单有效的工具。因此,本文提出了利用光纤Bragg光栅(OFBG)传感器的应变测量,基于Johnson变换的SPC在线监测结构健康状态和一些意外激励。以大型复杂空间结构——中国国家游泳中心为例,从数值和实验两方面验证了所提出的方法。研究发现,Johnson变换能有效提高SHM过程的SPC质量,并能清晰有效地监测结构健康状态和检测结构中发生的意外外荷载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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