A Combination of EMD and VARMA Model for Structural Damage Detection

Abstract eng:
A method combining the empirical mode decomposition (EMD) and vector autoregressive moving average (VARMA) model is proposed to detect the damage of structures. First, the EMD method is used to decompose the dynamic response of structures into a set of intrinsic mode functions (IMFs). Then, these IMFs are represented as a time varying VARMA model and Kalman filter is used to estimate the corresponding time varying VARMA coefficients. Finally, a novel index, derived from the time varying VARMA parameters, is proposed to identifying the damage of structures. The acceleration response recorded at a 6-story reinforced concrete building, the Imperial County Services Building, during the 1979 Imperial Valley earthquake, is analyzed to demonstrate the efficiency of the proposed method. It is found that the proposed method can precisely indicate the damage and changes of dynamic properties of structures, which is expected as the promising area for future research.

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