Department of Civil Engineering and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China.
Key Laboratory of Structures Dynamic Behavior and Control, Ministry of Education, Harbin Institute of Technology, Harbin 150090, China.
Sensors (Basel). 2019 Jan 9;19(2):220. doi: 10.3390/s19020220.
This research proposes a damage identification approach for storage tanks that is based on adding virtual masses. First, the frequency response function of a structure with additional virtual masses is deduced based on the Virtual Distortion Method (VDM). Subsequently, a Finite Element (FE) model of a storage tank is established to verify the proposed method; the relation between the added virtual masses and the sensitivity of the virtual structure is analyzed to determine the optimal mass and the corresponding frequency with the highest sensitivity with respect to potential damages. Thereupon, the damage can be localized and quantified by comparing the damage factors of substructures. Finally, an experimental study is conducted on a storage tank. The results confirm that the proposed method is feasible and practical, and that it can be applied for damage identification of storage tanks.
本研究提出了一种基于附加虚拟质量的储罐损伤识别方法。首先,基于虚拟变形法(VDM)推导出具有附加虚拟质量的结构的频响函数。随后,建立储罐的有限元(FE)模型来验证所提出的方法;分析附加虚拟质量与虚拟结构灵敏度之间的关系,以确定最佳质量和相应的频率,这些质量和频率对于潜在损伤具有最高的灵敏度。由此,可以通过比较子结构的损伤因子来定位和量化损伤。最后,对储罐进行了实验研究。结果证实,该方法是可行且实用的,可用于储罐的损伤识别。