An improved stochastic subspace modal identification method considering uncertainty quantification

This paper develops a novel stochastic subspace modal identification method in which the uncertainty quantification of structural modal parameters is considered. On the basis of a 4-degree-of-freedom (4DOF) simulation model, the detailed procedure of the proposed approach is first demonstrated. Then, by conducting a series of numerical simulations on the 4DOF model, the accuracy and effectiveness of the proposed method are verified for the cases of structural responses containing high-level noise and non-stationary properties. Furthermore, the proposed approach is applied to field measurements on a 260-m-high supertall building under ambient excitations, and the estimated modal parameters are further compared with the results determined by the forced vibration test performed on the building. The good agreement between these two sets of estimated modal parameters verifies the applicability and effectiveness of the developed modal identification method for field measurements. The objective of this study is to provide an efficient instrument for the accurate modal identification of civil structures.

Automated summary

This paper presents a new stochastic subspace modal identification method that considers the uncertainty quantification of structural modal parameters. The detailed procedure of the proposed approach is demonstrated using a 4-degree-of-freedom simulation model. Numerical simulations on the 4DOF model verify the accuracy and effectiveness of the proposed method for structural responses with high-level noise and non-stationary properties. Field measurements on a 260-m-high supertall building further validate the applicability and effectiveness of the developed modal identification method. The objective of this study is to provide an efficient instrument for accurate modal identification of civil structures.