框架结构非线性损伤的主成分分析识别方法研究
Study on Nonlinear Damage Identification of Frame Structure with a Principal Component Analysis Method

针对框架结构非线性损伤识别问题，提出一种基于主成分分析的损伤识别方法。利用主成分分析数据压缩和特征提取的特性，首先对结构基准工况响应信号进行处理，提取特征成分，得到主成分模型，然后将结构未知工况响应数据向主成分模型投影，通过构造损伤指标实现对结构非线性损伤的识别。以四层钢框架结构碰撞模型为实验对象，通过螺栓和钢柱构造碰撞非线性损伤源，实验结果表明该方法可有效识别结构的非线性损伤。
On the problem of nonlinear damage identification of frame structures, a damage identification method based on the principal component analysis is put forward. The data compression and feature extraction characteristics in the principal component analysis is used to identify the nonlinear damage. Firstly, the data of health state of the structure is processed to extract the characteristic components, secondly the principal component model is established and the unknown states' experimental data is projected upon principal component model, finally the nonlinear damage is identified by constructing several damage indexes. In this paper, a four-storey frame collision model is used as the experimental subject and the nonlinear damage source is constructed by a bolt and steel column, at last the experimental result shows that the structural damage can be effectively identified