Comparative study on modal parameter identification for ASCE Benchmark structure based on different response decomposition principles
Structural modal parameters identification is an important component of structural condition assessment,and their accuracy heavily relies on a suitable selection of response decomposition principle.In this paper,different response decomposition principles were applied for acceleration response decomposition of the ASCE Benchmark frame structure,and their modal parameter identification accuracy were compared to each other to provide a theoretical guidance in real application.Specifically,the fast independent component analysis(FastICA)based on the maximization of negentropy,the independent component analysis(ICA)based on the maximization of kurtosis,and the principal component analysis(PCA)based on the maximization of variance were utilized.FastICA measures non-Gaussianity using negentropy and employs the Newton iteration method to maximize the independence of the separated signals.The results showed that FastICA had the best accuracy in modal parameter identification compared to the other two methods.
万方数据
维普
