摘要
针对空间结构自由度多,地震作用下存在复杂的非线性等特性,该文提出了以小波包分析为基础,结合多传感器数据融合和聚类分析等手段的空间网壳结构地震作用下的损伤判别方法。首先建立损伤指标和损伤判别样本库,应用最小距离原则判别结构的损伤位置;其次考虑噪声污染对判别的影响,检验了损伤指标的抗噪性;最后采用数值模拟进行典型算例分析,准确判别出强震后结构发生损伤的位置,验证了该方法的有效性及工程可行性。
Because spatial structure has multi degree of freedom and complicated nonlinearity during the earthquake, the damage detection of spatial structure is difficult. A method of spatial structure damage detection under earthquakes is proposed by wavelet packet analysis in this paper. Furthermore, data fusion and clustering analysis are used. After constructing the damage index and diagnosis data bases, the damage location is detected using the minimum distance principle of clustering analysis. Noise effect is also studied, and the results show that noise has little impact on the accuracy of the damage detection method. The method is proven to be effective through numerical simulated analysis of a latticed shell.
出处
《工程力学》
EI
CSCD
北大核心
2011年第9期183-188,共6页
Engineering Mechanics
基金
国家科技支撑计划子课题项目(2006BAJ13B03)
关键词
网壳结构
地震作用
小波包分析
数据融合
聚类分析
latticed shell structure
earthquake action
wavelet packet analysis
data fusion
clustering analysis
