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开发结构健康监测系统是结构损伤识别的一个重要课题。由于建筑结构具有很多不确定因素,通过模 态分析识别结构损伤的精度很难保证。提出一种灰色关联度分析应用于结构损伤检测的数值方法。通过测量结构的频 率,建立可能损伤频率和实际损伤频率的关联度的关联序,并找出最优序列,逐次迭代逼近来确定结构的损伤位置和损 伤程度。对多种工况进行了框架结构模型的数值模拟。结果表明:对于层间剪切结构,通过测量结构频率变化运用本方 法可以准确地确定结构的损伤位置和损伤程度。
Developing structural health monitoring system is an important issue in structural damage identification. Due to the many uncertainties of building structures, it is difficult to guarantee the accuracy of structural damage identification through modal analysis. A numerical method of gray relational analysis applied to structural damage detection is proposed. By measuring the frequency of the structure, the correlation order between the possible damage frequency and the actual damage frequency is established, and the optimal sequence and iterative approximation are found to determine the damage location and damage degree of the structure. The numerical simulation of frame structure model for a variety of conditions. The results show that for the interlaminar shear structure, the structure damage position and the damage degree can be accurately determined by measuring the change of structure frequency.